Workshop on Swarm Intelligence and Evolutionary Computation
Scope
Swarm Intelligence and Evolutionary Computation are two critical areas within Artificial Intelligence, both focused on solving optimization problems. Swarm Intelligence draws inspiration from the collective behaviors observed in nature, such as ant colonies, bird flocks and fish schools. This approach has led to algorithms like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), which solve problems using simple individual interactions. On the other hand, Evolutionary Computation mimics the principles of natural selection and genetics, using populations of candidate solutions that evolve through mechanisms such as selection, crossover, and mutation. Popular algorithms in this category include Genetic Algorithms (GA) and Evolution Strategies (ES). Both methodologies are widely applied across fields like optimization, machine learning, and robotics, where they explore complex solution spaces by leveraging nature-inspired processes.
Topics of Interest
The workshop will explore the dynamic field of Swarm Intelligence and Evolutionary Computation, focusing on their theoretical foundations, recent algorithmic advancements, and practical applications. A broad range of topics will be discussed, including but not limited to:
Recent algorithm developments regarding PSO, ACO, GA, and ES.
New methods for addressing complex optimization problems, for example large-scale, many-objective, constrained, and mixed-variable challenges.
Applying swarm and evolutionary techniques in robotics, machine learning, optimization, and bioinformatics fields.
Interdisciplinary approaches that integrate these computational techniques with other scientific fields.
Current challenges and future research directions in Swarm Intelligence and Evolutionary Computation.
Submissions
We invite submissions of the following types of papers: regular research papers (up to 6 pages) and short position papers (up to 2 pages). Accepted workshop papers are published in the conference proceedings in the workshop section, available online via IEEE, and indexed by IEEE Xplore.
Important Dates
Paper Submission Deadline: 15 January, 2025
Paper Acceptance Notification: 1 March, 2025
Final Paper Submission Deadline: 7 March, 2025
The submission procedure, deadlines, and paper format follow the same guidelines as the IEEE CAI'2025 main conference. Submissions must be made via the IEEE CAI'2025 online system.
Organizers and Contact
Computer Science Department
Instituto Nacional de Astrofísica Óptica y Electrónica, Tonantzintla, Puebla, Mexico
szapotecas [at] inaoep.mx
Diego Oliva
Depto. de Ingeniería Electro-Fotónica
Universidad de Guadalajara, CUCEI, Guadalajara, México
diego.oliva [at] cucei.udg.mx
Departamento de Matemáticas Aplicadas y Sistemas
Universidad Autónoma Metropolitana Unidad Cuajimalpa, Ciudad de México, México
agarcian [at] cua.uam.mx