ANTS 2022, Thirteenth International Conference on Swarm Intelligence, November 2-4, 2022, Málaga, Spain

Call for Papers

Conference Scope

Swarm intelligence is the discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed a number of models to explain interesting aspects of collective behaviors such as movement coordination, shape-formation or decision making. Recently, algorithms and methods inspired by these models have been proposed to solve difficult problems in many domains. ANTS 2022 will give researchers in swarm intelligence the opportunity to meet, to present their latest research, and to discuss current developments and applications.

Relevant Research Areas

ANTS 2022 solicits contributions dealing with any aspect of swarm intelligence. Typical, but not exclusive, topics of interest are:
  • Behavioral models of social insects or other animal societies that can stimulate new algorithmic approaches.
  • Empirical and theoretical research in swarm intelligence.
  • Application of swarm intelligence methods, such as ant colony optimization or particle swarm optimization, to real-world problems.
  • Theoretical and experimental research in swarm robotics systems.

Important Dates

  • Extended submission deadline: April 30, 2022
  • Notification of acceptance: June 15, 2022
  • Camera ready copy: June 29, 2022
  • Conference: November 2-4, 2022
Call for papers in PDF format

Proceedings published in the Springer LNCS Series, Volume 13491


Welcome to Málaga!

For the first time, the ANTS conference series will take place in Málaga, Spain. The conference will be hosted by the University of Málaga (UMA) in a historical building close to the city center and the touristic port.


Edificio del Rectorado
Av. de Cervantes, 2
29016, Málaga, Spain.


ANTS 2022
(Attn: Dr. Manuel López-Ibáñez)
Málaga, Spain
ANTS 2022
(Attn: Dr. Jose García Nieto)
Málaga, Spain

Important Notice

Please DO NOT book any hotels via any links or phone calls received from third parties, e.g. "Ehotel Services via DocuSign" <> "Ehotel Services" <>. Please DO NOT reply to any emails or calls from or any other company. ANTS2022 never authorized any third-party to send any requests regarding accommodation. These are scams.

Accommodation Options


  1. Hotel Carlos V Málaga (2 mins walking)
  2. Alcazaba Premium Hotel (4 mins walking)
  3. Hotel Don Curro (6 mins walking)
  4. Hotel Eliseos Málaga (6 mins walking)
  5. Hotel Sur Málaga (9 mins walking)
  6. Hotel Soho Boutique Urban (10 mins walking)
  7. Hotel Ibis Centro Ciudad (14 mins walking)
  8. Hotel Eurostars Astoria (14 mins walking)
  9. Hotel Soho Boutique Los Naranjos (17 mins walking)

Enjoy your lunch breaks!

The conference venue is located 1 close to the centre of Málaga and the touristic harbor, which offer a very large selection of restaurants, tapas bars and local street food. You will for sure find something to satisfy your appetite! Zoom in the map and choose your favourite place restaurant icon. Beware that not all restaurants are open for lunch, but the offer is still very large.

The social dinner will take place at "La Reserva del Olivo" 2

Conference Information

Wednesday November 2, 2022

8:30 - 16:00 Registration
8:30 - 9:00 Welcome
9:00 - 10:00 Invited plenary talk
The 5 most popular artificial neural networks
Jürgen Schmidhuber, Director, AI Initiative, KAUST; Scientific Director, Swiss AI Lab IDSIA; Adj. Prof. of Artificial Intelligence, USI; Co-Founder & Chief Scientist, NNAISENSE
(Chair: Marco Dorigo)
10:00 - 10:40 Coffee break
10:40 - 12:00 Session 1: Oral presentations (Chair: Michael Allwright)
10:40 - 11:00 Moving Mixtures of Passive and Active Elements with Robots That Do Not Compute
Gopesh Yadav Dosieah, Anil Ozdemir, Melvin Gauci and Roderich Gross
11:00 - 11:20 Mind the Gap! Predictive Flocking of Aerial Robot Swarm in Cluttered Environments
Giray Önür, Ali Emre Turgut and Erol Şahin
11:20 - 11:40 Robot swarms break decision deadlocks in collective perception through cross-inhibition
Raina Zakir, Andreagiovanni Reina and Marco Dorigo
11:40 - 12:00 Benchmarking Performances of Collective Decision-making Strategies with Respect to Communication Bandwidths in Discrete Collective Estimation
Qihao Shan and Sanaz Mostaghim
12:00 - 14:00 Lunch (on your own)
14:00 - 15:20 Session 2: Oral presentations (Chair: Eliseo Ferrante)
14:00 - 14:20 Decentralized Multi-Agent Path Finding in Warehouse Environments for Fleets of Mobile Robots with Limited Communication Range
Abderraouf Maoudj and Anders Lyhne Christensen
14:20 - 14:40 Self-organized Chain Formation of Nano-drones in an Open Space
Agata Barciś, Michał Barciś, Enrico Natalizio and Eliseo Ferrante
14:40 - 15:00 Real-time Coordination of a Foraging Robot Swarm using Blockchain Smart Contracts
Alexandre Pacheco, Volker Strobel, Andreagiovanni Reina and Marco Dorigo
15:00 - 15:20 Controlling Robot Swarm Aggregation through a Minority of Informed Robots
Antoine Sion, Andreagiovanni Reina, Mauro Birattari and Elio Tuci
15:20 - 15:45 Session 3: Preview highlights (Chair: Francisco Luna)
Generating and Analyzing Collective Step-climbing Behavior in a Multi-legged Robotic Swarm
Daichi Morimoto, Motoaki Hiraga, Kazuhiro Ohkura and Masaharu Munetomo
Optimisation of a Self-organised Collective Motion in Robotic Swarm
Mazen Bahaidarah, Fatemeh Rekabi Bana, Ali Emre Turgut, Ognjen Marjanovic and Farshad Arvin
An Extension of the iMOACO-R Algorithm Based on Layer-Set Selection
Ashraf Abdelbar, Thomas Humphries, Jesus Guillermo Falcon-Cardona and Carlos A. Coello Coello
Binary Particle Swarm Optimization for Selective Cell Switch-Off in Ultra-Dense 5G Networks
Juan Jesús Espinosa-Martínez, Jesús Galeano-Brajones, Javier Carmona-Murillo and Francisco Luna
Stability-Guided Particle Swarm Optimization
Andries Engelbrecht
Component Swarm Optimization using Virtual Forces for Solving Layout Problems
Juliette Gamot, Romain Wuilbercq, Mathieu Balesdent, Arnault Tremolet, Nouredine Melab and El-Ghazali Talbi
15:45 - 18:30 Poster session 1 + drinks and appetisers: Papers and previews presented in Sessions 1, 2, and 3

Thursday November 3, 2022

9:00 - 10:00 Invited plenary talk
Swarm Robotics Across Scales: Engineering Complex Behaviors
Giovanni Beltrame, Polytechnique Montreal
(Chair: Giovanni Reina)
10:00 - 10:40 Coffee break
10:40 - 11:40 Session 4: Oral presentations (Chair: Sanaz Mostaghim)
10:40 - 11:00 Automatic Design of Multi-Objective Particle Swarm Optimizers with jMetal and irace
Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto and Carlos A. Coello Coello
11:00 - 11:20 Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization
Weka Steyn and Andries Engelbrecht
11:20 - 11:40 Decomposition and Merging Co-operative Particle Swarm Optimization with Random Grouping
Alanna McNulty, Beatrice Ombuki-Berman and Andries Engelbrecht
11:40 - 14:00 Lunch (on your own)
14:00 - 15:40 Session 5: Oral presentations (Chair: Giovanni Beltrame)
14:00 - 14:20 Collective Decision-making for Conflict Resolution in Multi-Agent Pathfinding
Sebastian Mai and Sanaz Mostaghim
14:20 - 14:40 An Approach Based on Particle Swarm Optimization for Inspection of Spacecraft Hulls by a Swarm of Miniaturized Robots
Bahar Haghighat, Johannes Boghaert, Zev Minsky-Primus, Julia Ebert, Fanghzheng Liu, Martin Nisser, Ariel Ekblaw and Radhika Nagpal
14:40 - 15:00 A Geometry-Sensitive Quorum Sensing Algorithm for the Best-of-N Site Selection Problem
Grace Cai and Nancy Lynch
15:00 - 15:20 Automatic Extraction of Understandable Controllers from Video Observations of Swarm Behaviours
Khulud Alharthi, Zahraa Abdallah and Sabine Hauert
15:20 - 15:45 Session 6: Preview highlights (Chair: José Manuel García Nieto)
Distributed Sorting in Complex Environments
Mohammed Abdullhak and Andrew Vardy
Response threshold distributions to improve best-of-n decisions in minimalistic robot swarms
Swadhin Agrawal, Sujit P. Baliyarasimhuni and Andreagiovanni Reina
Effect of Different Communication Affordances on the Emergence of Collaboration Strategies in an Online Multiplayer Game
Hala Khodr, Nicolas Wagner, Barbara Bruno, Aditi Kothiyal and Pierre Dillenbourg
Modeling Immune Search through the Lymphatic Network
Jannatul Ferdous, G. Matthew Fricke and Melanie E. Moses
Particle swarm optimization applied to the direct aperture optimization problem on radiotherapy
Gonzalo Tello-Valenzuela, Mauricio Moyano, Keiny Meza-Vasquez and Guillermo Cabrera-Guerrero
An Adaptive Metric Model for Collective Motion Structures in Dynamic Environments
Stef Van Havermaet, Pieter Simoens and Yara Khaluf
15:45 - 18:30 Poster session 2 + drinks and appetisers: Papers and previews presented in Sessions 4, 5 and 6
20:00-22:00 Social Dinner at "La Reserva del Olivo"
Address: Pl. del Carbón, 2, 29015 Málaga, Spain (Directions)

Friday November 4, 2022

9:00 - 10:00 Invited plenary talk
Mexican Waves: The Adaptive Value of Collective Behaviour
Jens Krause, Humboldt University and Leibniz-Institute of Freshwater Ecology and Inland Fisheries
(Chair: Heiko Hamann)
10:00 - 10:40 Coffee break
10:40 - 11:40 Session 7: Oral presentations (Chair: Volker Strobel)
10:40 - 11:00 The Hidden Benefits of Limited Communication and Slow Sensing in Collective Monitoring of Dynamic Environments
Till Aust, Mohamed Salaheddine Talamali, Marco Dorigo, Heiko Hamann and Andreagiovanni Reina
11:00 - 11:20 Best-of-N collective decisions on a hierarchy
Fabio Oddi, Andrea Cristofaro and Vito Trianni
11:20 - 11:40 Extracting Symbolic Models of Collective Behaviors with Graph Neural Networks and Macro-Micro Evolution
Stephen Powers, Joshua Smith and Carlo Pinciroli
11:40 - 13:40 Lunch (on your own)
13:40 - 14:00 Session 8: Preview highlights (Chair: Manuel López-Ibáñez)
Applying PSO to Find Optimal Strategy for 3D Chip Layout Design
Katarzyna Grzesiak-Kopeć and Maciej Ogorzalek
Constant Bearing Flocking
Cristino de Souza Junior, Tiziano Manoni and Eliseo Ferrante
Animals are not particles: towards a second generation of ‘hetero-swarm’ robotics
Marina Papadopoulou, Ines Fürtbauer and Andrew King
A Novel Time-of-Flight Range and Bearing Sensor System for Micro Air Vehicle Swarms
Cem Bilaloğlu, Mehmet Şahin, Farshad Arvin, Erol Şahin and Ali Emre Turgut
14:00 - 16:30 Poster session 3 + drinks and appetisers: Papers and previews presented in Sessions 7 and 8
16:30 - 17:00 Award ceremony and conclusion (Chair: Heiko Hamann)

Registration Fee

The ANTS2022 registration fee is 450 EUR.

The conference fee includes:

  • Admission to all technical sessions
  • One copy of the conference proceedings

Coffee breaks and a conference dinner will be offered by the organizing committee.

Registration Procedure

Please go to the registration page and follow the instructions therein.

Prof. Jürgen Schmidhuber

Director, AI Initiative, KAUST
Scientific Director, Swiss AI Lab IDSIA
Adj. Prof. of Artificial Intelligence, USI
Co-Founder & Chief Scientist, NNAISENSE

The 5 most popular artificial neural networks

Abstract: Modern Artificial Intelligence is dominated by artificial neural networks (NNs) and deep learning. I am proud that foundations of the most popular NNs originated in my labs. Here I discuss: (1) Long Short-Term Memory (LSTM), the most cited NN of the 20th century, (2) ResNet, the most cited NN of the 21st century (an open-gated version of our Highway Net: the first working really deep feedforward NN), (3) AlexNet and VGG Net, the 2nd and 3rd most frequently cited NNs of the 21st century (both building on our similar earlier DanNet: the first deep convolutional NN to win image recognition competitions), (4) Generative Adversarial Networks (an instance of my earlier Adversarial Artificial Curiosity), and (5) variants of Transformers (Transformers with linearized self-attention are formally equivalent to my earlier Fast Weight Programmers). Most of this started with our Annus Mirabilis of 1990-1991 when compute was a million times more expensive than today. In the 2010s, all of this work was feverishly built on by an outstanding community of machine learning researchers, engineers, and practitioners to create amazing things that have impacted the lives of billions of people worldwide.

Bio: Since age 15 or so, the main goal of professorJürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. He is often called the "father of modern AI" by the media. His lab's Deep Learning Neural Networks (NNs) based on ideas published in the "Annus Mirabilis" 1990-1991 have revolutionised machine learning and AI. In 2009, the CTC-trained Long Short-Term Memory (LSTM) of his team was the first recurrent NN to win international pattern recognition competitions. In 2010, his lab's fast and deep feedforward NNs on GPUs greatly outperformed previous methods, without using any unsupervised pre-training, a popular deep learning strategy that he pioneered in 1991. In 2011, the DanNet of his team was the first feedforward NN to win computer vision contests, achieving superhuman performance. In 2012, they had the first deep NN to win a medical imaging contest (on cancer detection). This deep learning revolution quickly spread from Europe to North America and Asia, and attracted enormous interest from industry. By the mid 2010s, his lab's NNs were on 3 billion devices, and used billions of times per day through users of the world's most valuable public companies, e.g., for greatly improved speech recognition on all Android smartphones, greatly improved machine translation through Google Translate and Facebook (over 4 billion LSTM-based translations per day), Apple's Siri and Quicktype on all iPhones, the answers of Amazon's Alexa, and numerous other applications. In May 2015, his team published the Highway Net, the first working really deep feedforward NN with hundreds of layers—its open-gated version called ResNet (Dec 2015) has become the most cited NN of the 21st century, LSTM the most cited NN of the 20th (Bloomberg called LSTM the arguably most commercial AI achievement). His lab's NNs are now heavily used in healthcare and medicine, helping to make human lives longer and healthier. His research group also established the fields of mathematically rigorous universal AI and recursive self-improvement in metalearning machines that learn to learn (since 1987). In 1990, he introduced unsupervised generative adversarial neural networks that fight each other in a minimax game to implement artificial curiosity (the famous GANs are instances thereof). In 1991, he introduced neural fast weight programmers formally equivalent to what's now called Transformers with linearized self-attention (Transformers are popular in natural language processing and many other fields). His formal theory of creativity & curiosity & fun explains art, science, music, and humor. He also generalized algorithmic information theory and the many-worlds theory of physics, and introduced the concept of Low-Complexity Art, the information age's extreme form of minimal art. He is recipient of numerous awards, author of about 400 peer-reviewed papers, and co-founder and Chief Scientist of the company NNAISENSE, which aims at building the first practical general purpose AI. He is a frequent keynote speaker, and advising various governments on AI strategies.

Jürgen Schmidhuber's Picture

Prof. Giovanni Beltrame

Professor of Computer Engineering, Polytechnique Montreal

Swarm Robotics Across Scales: Engineering Complex Behaviors

Abstract: Swarm robotics relies on many simple robots, governed by local interactions to implement complex behaviours, generally inspired by biological systems. What are the ingredients necessary for the of design artificial swarms for practical applications? This talk will present some of the challenges of practical swarms, identifying in particular the limitations of a leaderless hierarchy, where robots have only a partial view of their mission, as well as ways to circumvent these limitations by exploiting heterogeneous swarms. This talk will use several practical examples, including the control of smart materials, search and rescue missions, and space exploration.

Bio: Giovanni Beltrame obtained his Ph.D. in Computer Engineering from Politecnico di Milano, in 2006 after which he worked as microelectronics engineer at the European Space Agency on a number of projects spanning from radiation-tolerant systems to computer-aided design. In 2010 he moved to Montreal, Canada where he is currently Professor at Polytechnique Montreal with the Computer and Software Engineering Department. Dr. Beltrame directs the MIST Lab, with more than 20 students and postdocs under his supervision. He has completed several projects in collaboration with industry and government agencies in the area of robotics, disaster response, and space exploration. His research interests include modeling and design of embedded systems, artificial intelligence, and robotics, on which he has published research in top journals and conferences.

Giovanni Beltrame's Picture

Prof. Jens Krause

Humboldt University and Leibniz-Institute of Freshwater Ecology and Inland Fisheries

Mexican Waves: The Adaptive Value of Collective Behaviour

Abstract: The collective behaviour of animals has attracted considerable attention in recent years, with many studies exploring how local interactions between individuals can give rise to global group properties. The functional aspects of collective behaviour are less well studied, especially in the field and relatively few studies have investigated the adaptive benefits of collective behaviour in situations where prey are attacked by predators. This paucity of studies is unsurprising because predator-prey interactions in the field are difficult to observe. Furthermore, the focus in recent studies on predator-prey interactions has been on the collective behaviour of the prey rather than on the behaviour of the predator. Here I present a field study that investigated the antipredator benefits of waves produced by fish at the water surface when diving down collectively in response to attacks of avian predators. Fish engaged in surface waves that were highly conspicuous, repetitive, and rhythmic involving many thousands of individuals for up to 2 min. Collective fish waves increased the time birds waited until their next attack and also reduced capture probability in three avian predators that greatly differed in size, appearance and hunting strategy. Taken together, these results support a generic antipredator function of fish waves which could be a result of a confusion effect or a consequence of waves acting as a perception advertisement, which requires further exploration.

Bio: Jens Krause is a behavioural ecologist with a strong interest in collective behaviour and social networks. He has published a number of books (Living in Groups, OUP; Fish Cognition and Behavior, Wiley/Blackwells; Exploring Animal Social Networks, PUP; Animal Social Networks, OUP) and articles on the mechanisms and functions of living in groups. He is currently professor for fish biology and ecology in the Faculty of Life Science at the Humboldt University Berlin, Head of Department at the Leibniz-Institute of Freshwater Ecology and Inland Fisheries and on the executive board of the excellence cluster “Science of intelligence”. He started his university education at the Free University Berlin and obtained his PhD from St. John’s College Cambridge, UK, followed by postdocs at Mount Allison University, Canada, and Princeton University, USA, and held a professorship for behavioural ecology at Leeds University, UK, for several years before moving back to Berlin in 2009. In 2014 he was elected into the Berlin-Brandenburgische Akademie der Wissenschaften.

Jens Krause's Picture

The Award

Continuing with a tradition started at ANTS 2002, the "Best Paper Award" at ANTS 2022 consists of a sculpture of an ant specially made for the ANTS conference series by the Italian sculptor Matteo Pugliese.

ANTS 2020 award


The best paper award has been graciously sponsored by Technology Innovation Institute and Springer LNCS.

Ceremony, Nominees, and the Winner

Best Paper Award Ceremony Nominees and the Winner (in bold)
Dynamic Spatial Guided Multi-Guide Particle Swarm Optimization Algorithm for Many-Objective Optimization
Weka Steyn and Andries Engelbrecht
Moving Mixtures of Passive and Active Elements with Robots That Do Not Compute
Gopesh Yadav Dosieah, Anil Ozdemir, Melvin Gauci and Roderich Gross
Automatic Design of Multi-Objective Particle Swarm Optimizers with jMetal and irace
Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto and Carlos A. Coello Coello

Final photo at ANTS 2020


Organizing Committee

General chair
Marco Dorigo, Université Libre de Bruxelles, Bruxelles, Belgium
Heiko Hamann, University of Lübeck, Lübeck, Germany
Local organisation and publicity chair
Manuel López-Ibáñez, University of Málaga, Málaga, Spain
Jose García Nieto, University of Málaga, Málaga, Spain
Technical program chairs
Andries Engelbrecht, University of Stellenbosch, Cape Town, South Africa
Carlo Pinciroli, Worcester Polytechnic Institute, Worcester, United States
Publication chair
Volker Strobel, Université Libre de Bruxelles, Bruxelles, Belgium
Paper submission chair
Christian Camacho-Villalón, Université Libre de Bruxelles, Bruxelles, Belgium

Program Committee

  • Ashraf Abdelbar, Brandon University
  • Martyn Amos, Northumbria University
  • Jacob Beal, BBN Technologies
  • Giovanni Beltrame, École Polytechnique Montréal
  • Tim Blackwell, Goldsmiths, University of London
  • Darko Bozhinoski, Delft University of Technology
  • Alexandre Campo, Université Libre de Bruxelles
  • Marco Castellani, University of Birmingham
  • Stephen Chen, York University
  • Christopher Cleghorn, University of the Witwatersrand
  • Maurice Clerc, Independent Consultant on Optimisation
  • Leandro Coelho, Pontifícia Universidade Católica do Parana
  • Carlos Coello Coello, CINVESTAV-IPN
  • Sanjoy Das, Kansas State University
  • Guido de Croon, Delft University of Technology
  • Gianni Di Caro, Carnegie Mellon University
  • Karl Doerner, University of Vienna
  • Mohammed El-Abd, American University of Kuwait
  • Eliseo Ferrante, Vrjie Universitat Amsterdam
  • José García-Nieto, University of Málaga
  • Simon Garnier, New Jersey Institute of Technology
  • Roderich Gross, The University of Sheffield
  • Kyle Harrison, University of New South Wales Canberra
  • Kiyohiko Hattori, The University of Electro-Communications
  • Mary Katherine Heinrich, Université Libre de Bruxelles
  • Tim Hendtlass, Swinburne University
  • Yara Khaluf, Ghent University
  • Simone Ludwig, North Dakota State University
  • Vittorio Maniezzo, University of Bologna
  • Alcherio Martinoli, École Polytechnique Fédérale de Lausanne
  • Massimo Mastrangeli, Delft University of Technology
  • Michalis Mavrovouniotis, University of Cyprus
  • Yi Mei, Victoria University of Wellington
  • Bernd Meyer, Monash University
  • Nicolas Monmarché, Université de Tours
  • Roberto Montemanni, Istituto Dalle Molle di Studi sull'Intelligenza Artificiale
  • Frank Neumann, The University of Adelaide
  • Ben Niu, Shenzhen University
  • Ann Nowe, Vrije Universiteit Brussel
  • Kazuhiro Ohkura, Hiroshima University
  • Michael Otte, University of Maryland
  • Jacopo Panerati, University of Toronto
  • Konstantinos Parsopoulos, University of Ioannina
  • Orit Peleg, University of Colorado Boulder
  • Paola Pellegrini, IFSTTAR
  • Gilbert Peterson, US Air Force Institute of Technology
  • Michal Pluhacek, Tomas Bata University in Zlin
  • Günther Raidl, Vienna University of Technology
  • Pawel Romanczuk, Humboldt University of Berlin
  • Andreagiovanni Reina, Université Libre de Bruxelles
  • Andrea Roli, University of Bologna
  • Erol Sahin, Middle East Technical University
  • Roman Senkerik, Tomas Bata University in Zlin
  • Kevin Seppi, Brigham Young University
  • Thomas Stützle, Université Libre de Bruxelles
  • Dirk Sudholt, University of Passau
  • Munehiro Takimoto, Tokyo University of Science
  • Danesh Tarapore, University of Southampton
  • Guy Theraulaz, CNRS CRCA
  • Dhananjay Thiruvady, Deakin University
  • Vito Trianni, ISTC-CNR
  • Elio Tuci, Université de Namur
  • Ali Emre Turgut, Université Libre de Bruxelles
  • Vivek Shankar Varadharajan, Polytechnique Montreal
  • Mostafa Wahby, University of Lübeck
  • Rolf Wanka, Friedrich-Alexander-Universität Erlangen-Nürnberg
  • Justin Werfel, Harvard University
  • Carsten Witt, Technical University of Denmark
  • Masahito Yamamoto, Hokkaido University
  • Zhi-Hui Zhan, South China University of Technology

Additional reviewers

  • Nicolas Bredeche, Sorbonne University
  • Edmund Hunt, University of Bristol


Oral presentations:

Each oral presentation will last 20 minutes sharp (15 minutes presentation plus 5 minutes for questions-and-answers).
Papers presented orally will be also presented during the poster session on the same day of the presentation. Please refer to the on-line program for the details.


Posters should be of size A0 portrait. There is no standard template for the poster, every author can choose what best fits their work. Material to fix the poster on the stand will be available.

Preview highlights:

Papers that are not presented orally will be introduced by the author in a 2 minute highlight, using a SINGLE slide. This slide must be sent to us in advance. We will preload this slide onto the computer and project it for you during your presentation.

Paper submissions are now closed

Final submission deadline: April 30, 2022

Initial submission instructions

Submissions may be a maximum of 11 pages, excluding references, when typeset in the LNCS Springer LaTeX template. Submissions should be a minimum of 7 full pages.

This strict page limit includes figures, tables, and all supplementary sections (e.g., Acknowledgements). The only exclusion from the page limit is the reference list, which should be of any length that properly positions the paper with respect to the state of the art.

Papers should be prepared in English, in the LNCS Springer LaTeX style, using the default font and font size. Authors should consult Springer’s authors’ guidelines and use their proceedings template for LaTeX, for the preparation of their papers. Please download the LNCS Springer LaTeX template package (zip, 309 kB) and authors' guidelines (pdf, 191 kB) directly from the Springer website. Please also download and consult the ANTS 2022 sample LaTeX document (zip, 129kB), which shows the correct options to use within the Springer template.

Submissions that do not respect these guidelines will not be considered.

Note: Authors may find it convenient that Springer’s proceedings LaTeX templates are available in Overleaf

The initial submission must be in PDF format.

Please note that in the camera-ready phase, authors of accepted papers will need to submit both a compiled PDF and all source files (including LaTeX files and figures).

The camera-ready phase will have more detailed formatting requirements than the initial submission phase. Authors are invited to consult these camera-ready instructions preemptively.

Submission process

Submitted papers will be peer-reviewed on the basis of technical quality, relevance, significance, and clarity. If a submission is not accepted as a full length paper, it may still be accepted either as a short paper or as an extended abstract. In such cases, authors will be asked to reduce the length of the submission accordingly. Authors of all accepted papers will be asked to execute revisions, based on the reviewers’ comments.

Camera-ready submission instructions

Accepted papers are to be revised and submitted as a camera-ready version. Reviewers’ comments should be taken into account and should guide appropriate revisions. The camera-ready submission must include the compiled PDF and all source files needed for compilation—including the LaTex file, reference file, and figures.

By submitting a camera-ready paper, the author(s) agree that at least one author will attend the conference and give a presentation of the paper. At least one author must be registered by the deadline for camera-ready submissions.

Camera-ready submissions that do not comply with all given requirements might have to be excluded from the conference proceedings.

After formatting the paper as explained below, please follow the subsequent instructions for submitting a zip/tar file that contains your camera-ready paper sources:

  1. Visit the EasyChair website and log in.
  2. Choose Role: author for the conference ANTS 2022.
  3. Click on the magnifying lens symbol in the column View for your submission(s).
  4. Click on Add or update files at the top right of the page.
  5. Upload either a zip archive or a tgz archive by clicking on Choose file.
  6. Finalize your submission by clicking on Submit.

Deadline for submission: June 29, 2022

Formatting instructions

Papers must be prepared in the LNCS Springer LaTeX style, using the default font and font size. Authors should consult Springer’s authors’ guidelines and use their proceedings template for LaTeX, for the preparation of their papers. Please download the LNCS Springer LaTeX template package (zip, 302 kB) and authors' guidelines (pdf, 192 kB) directly from the Springer website. The LaTeX class and references style (llncs.cls and splncs04.bst) included in this package should not be modified. Please also download and consult the ANTS 2022 sample LaTeX document (zip, 129 kB), which shows the correct options to use within the Springer template.

Your submission should be uploaded as a compressed archive (zip, tgz), containing the final camera-ready versions of the following:

  • the compiled PDF (pdf),
  • the main LaTeX file (tex),
  • the references file (both in bib and bbl),
  • and all figures, where applicable (pdf, eps, png, jpeg, tiff, bmp).

Figures should be in their original vector format (pdf, eps), if applicable. Otherwise, figures provided in raster format (png, jpeg, tiff, bmp) must be high-resolution (if including linework, at least 800 dpi at the final size, otherwise, at least 300 dpi at the final size).

Although figures in the digital proceedings will be in full color, the print proceedings of ANTS 2022 will be printed in grayscale. Authors should therefore ensure that their figures will be appropriately legible when printed in grayscale.

Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Number of pages

Full-length Papers are strictly limited to 11 pages + references, and Short Papers are strictly limited to 7 pages + references.

These page limits include figures, tables, and all supplementary sections (e.g., Acknowledgements). The only exclusion from these page limits is the reference list, which should have an appropriate length with respect to the state of the art.

Extended Abstracts are strictly limited to 2 pages (including references).

All page limits refer to papers prepared in the LNCS Springer LaTeX template, according to the instructions provided here. Do not modify the template defaults, such as those for margins, line spacing, or font size.

Using the LNCS Springer LaTeX style

Submissions must be prepared in LaTeX, and the source files (tex, bib, bbl) must be provided. Authors should use the LaTeX class and references style files (llncs.cls and splncs04.bst) as provided in the LNCS Springer LaTeX template package. These files should not be modified. Also, do not add formatting modifications to the main document (tex) to override the template defaults. Do not use, for instance, any line spacing modifications (e.g., \vspace{} or \\*[0pt]), or font size modifications (e.g., \fontsize{}). Please do not add any special fonts. Please do not add packages or custom commands that change the formatting (e.g., do not use the package subcaption, as it overrides the default caption formatting in the template).

During the final preparation of the proceedings, any formatting modifications in the main document (tex) will be removed if they do not match the template, potentially causing a change in paper length. Springer will also recompile all papers using their original llncs class file (llncs.cls). If authors make any modifications to the llncs file, their paper will not compile correctly in the final step, and cannot be included in the proceedings.

References must be formatted using the provided references style file (splncs04.bst). In this references style, in-text citations will appear as numbers, and the numbered reference list will be ordered alphabetically.

For further information, please refer to the class documentation included in the LNCS Springer LaTex package, and to the LNCS Springer authors’ guidelines.

ANTS 2022 formatting details

It is mandatory that submissions to ANTS 2022 follow certain options within the LNCS Springer template. The ANTS 2022 sample LaTeX document (zip) shows the correct template options to use. These mandatory template options are as follows.

Running header:

  • The running header option should be activated. This is activated by starting your LaTeX document (tex) with the command: \documentclass[runningheads]{llncs}.
  • In the author-running field: \authorrunning{}, give the initial of the first name(s) and the full surname. Always give the first author's name. If there are precisely two authors, then give both the first and second authors' names. If there are more than two authors, use ‘et al.’ after the name of the first author.
  • If the title is too long for the header, specify a shorter header title using the title-running field: \titlerunning{Abbreviated paper title}.

Title and headings:

  • The title, headings, and subheadings should be capitalized according to standard ‘Title Case’ style (i.e., all words should be capitalized, except for articles, prepositions, and conjunctions).
  • Do not use a \newline command with the title.
  • Headings and subheadings should be aligned to the left.

Author names and affiliations:

  • Follow the naming convention in which the surname is the last name.
  • Using the LaTex \author{} field, provide the full first name (not only the initial).
  • Do not include academic titles (e.g., Prof. or Dr.).
  • Springer encourages the inclusion of author ORCIDs. These can be optionally included using the LaTex field \orcidID{} within the LaTex field \author{}.
  • Author affiliation information should include the following, using the \institute{} and \email{} fields: department, faculty, university, company (if applicable), city, country, and email address. Do not include the street address or ZIP code (it is not a postal address). The email address of the corresponding author is mandatory to include in the \institute{} and \email{} fields.
  • After the \institute{} entries, include an \index{} entry for each author, giving the full surname, followed by the full first name(s).

For further details, please refer to the documentation of the llncs class.


  • Acknowledgements, if any, should be given as the last subsubsection of the paper, just before the list of references.
  • Do not format acknowledgments as a footnote, anywhere in the paper.


  • Do not include keywords in your manuscript; they will not be included in the proceedings.

For contributions accepted as Extended Abstracts:

  • Extended Abstract submissions must not contain an abstract, and must not include any section headings (or subheadings) in the main body. (Other than the title, the only headings in the manuscript should be for the References and Acknowledgments, if applicable).

Proceedings and journal special issue

Conference proceedings are published by Springer in the LNCS series, Volume 13491.

The journal Swarm Intelligence will publish a special issue dedicated to ANTS 2022 that will contain extended versions of the best research works presented at the conference.

Last modified: 4 November 2022