XV Spanish Congress on Metaheuristics, Evolutionary and Bioinspired Algorithms

The national congress on Metaheuristics, Evolutionary and Bioinspired Algorithms (MAEB), aims to be a forum for meeting, discussion and knowledge transfer between researchers in the field of metaheuristics and bio-inspired algorithms, in order to present and exchange experiences and results.

Original and unpublished works can be published in Lecture Notes in Artificial Intelligence or in the CAEPIA Proceedings, as well as already published highlighted works (key works). Read more about the type of contributions. All the submission and reviewing process will be done through the platform EasyChair

Chairs

To be announced.

• David Camacho, Universidad Politécnica de Madrid, Email: david.camacho@upm.es
• Juan Ramón Rabuñal Dopico, Universidade da Coruña, Email: juan.rabunal@udc.es

Topics

Some of the methodologies based on metaheuristics and bio-inspired algorithms for solving optimization problems or their applications for problem solving are of interest in this congress.

• Ant Colonies Optimization
• Cross-Entropy Method for Optimization
• Classification and Learning Algorithms
• Constraints Programming
• Cooperative Heuristics
• Differential Evolution
• Evolutionary Computation
• Estimation of Distribution Algorithms
• Evolutionary Strategies
• Evolutionary Programming
• Fuzzy Metaheuristics
• Genetic Algorithms
• Guided Local Search
• Genetic Programming
• Greedy Randomized Adaptive Search
• Hybrid Algorithms
• Hyper-heuristics
• Iterative Local Search
• Immune System Algorithms
• Memetic Algorithms
• Multi-objective metaheuristics
• Metaheuristics
• Natural Computing
• Neural Networks
• Parallel Algorithms
• Path Re-linking
• Particle Swarm Optimization
• Simulated Annealing
• Swarm Intelligence
• Scatter Search
• Tabu Search
• Variable Neighbourhood Search

Program Committee (pending confirmation)