The 24th European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on applications and theory of evolutionary computation methods and other metaheuristics for solving difficult combinatorial optimisation problems appearing in various industrial, economic, and scientific domains.
Successfully solved problems include, but are not limited to, multi-objective, uncertain, dynamic and stochastic problems in the context of scheduling, timetabling, network design, transportation and distribution, vehicle routing, stringology, graphs, satisfiability, energy optimisation, cutting, packing, planning and search-based software engineering.
The EvoCOP 2024 conference will be held together with EuroGP (the 27th European Conference on Genetic Programming), EvoMUSART (the 13th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (the 27th European Conference on the Applications of Evolutionary Computation), in a joint event collectively known as EvoStar (Evo*).
Accepted papers will be published by Springer Nature in the Lecture Notes in Computer Science series. Previous proceedings can be found in the EvoCOP Conference Proceedings in SpringerLink.
Download the CFP in PDF here.
- Thomas Stützle
Université Libre de Bruxelles, Belgium
- Markus Wagner
Monash University, Australia
Areas of Interest and Contributions
EvoCOP welcomes submissions in all experimental and theoretical aspects of evolutionary computation and other metaheuristics to combinatorial optimisation problems, including (but not limited to) the following areas:
- Applications of metaheuristics to combinatorial optimization problems
- Theoretical developments
- Neighbourhoods and efficient algorithms for searching them
- Variation operators for stochastic search methods
- Constraint-handling techniques
- Parallelisation and grid computing
- Search space and landscape analyses
- Comparisons between different (also exact) methods
- Automatic algorithm configuration and design
Prominent examples of metaheuristics include (but are not limited to):
- Evolutionary algorithms
- Estimation of distribution algorithms
- Swarm intelligence methods such as ant colony and particle swarm optimisation
- Artificial immune systems
- Local search methods such as simulated annealing, tabu search, variable neighbourhood search, iterated local search, scatter search and path relinking
- Hybrid methods such as memetic algorithms
- Matheuristics (hybrids of exact and heuristic methods)
- Hyper-heuristics and autonomous search
- Surrogate-model-based methods
Notice that, by tradition, continuous/numerical optimisation is *not* part of the topics of interest of EvoCOP. Interested authors might consider submitting to other EvoStar conferences such as EvoApplications.
Paper submissions must be original and not published elsewhere. The submissions will be peer reviewed by members of the program committee. The reviewing process will be double-blind, please omit information about the authors in the submitted paper.
Follow these instructions to submit a paper.