EvoCOP 2013 - The 13th European Conference on Evolutionary Computation in Combinatorial Optimisation

EvoCOP is a multidisciplinary conference that brings together researchers working on metaheuristics that are used to solve difficult combinatorial optimization problems appearing in various industrial, economic, and scientific domains. Prominent examples of metaheuristics include: evolutionary algorithms, simulated annealing, tabu search, scatter search and path relinking, memetic algorithms, ant colony and bee colony optimization, particle swarm optimization, variable neighbourhood search, iterated local search, greedy randomized adaptive search procedures, estimation of distribution algorithms, and hyperheuristics. Successfully solved problems include scheduling, timetabling, network design, transportation and distribution problems, vehicle routing, travelling salesman, graph problems, satisfiability, energy optimization problems, packing problems, planning problems, and general mixed integer programming.

The EvoCOP 2013 conference will be held in Vienna, Austria. The conference will be held in conjunction with EuroGP (the 16th European Conference on Genetic Programming), EvoBIO (the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology), EvoMUSART (11th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoAPPS (specialist events on a range of evolutionary computation topics and applications), in a joint event collectively known as EvoStar.

For more information see the EvoCOP 2013 webpage http://www.evostar.org/

Areas of Interest and Contributions

Topics of interest include, but are not limited to:

Applications of metaheuristics to combinatorial optimization problems
Novel application domains for metaheuristic optimisation methods
Representation techniques
Neighborhoods and efficient algorithms for searching them
Variation operators for stochastic search methods
Constraint-handling techniques
Hybrid methods and hybridization techniques
Parallelization
Theoretical developments
Search space and landscape analyses
Comparisons between different (also exact) techniques
Metaheuristics and machine learning
Ant colony optimisation
Artificial immune systems
Bee colony optimization
Genetic programming and Genetic algorithms
(Meta-)heuristics
Scatter search
Particle swarm optimisation
Tabu search, iterated local search and variable neighborhood search
Memetic algorithms and hyperheuristics
Estimation of distribution algorithms
String processing
Scheduling and timetabling
Network design
Vehicle routing
Graph problems
Satisfiability
Packing and cutting problems
Energy optimization problems
Practical solving of NP-hard problems
Mixed integer programming
Multi-objective optimisation
Grid computing
Combinatorial optimisation
Nature and Bio-inspired methods
Quantum computing and quantum annealing
Optimization in Cloud computing