EvoCOP 2017 - The 17th European Conference on Evolutionary Computation in Combinatorial Optimisation

The 17th European Conference on Evolutionary Computation in Combinatorial Optimisation is a multidisciplinary conference that brings together researchers working on metaheuristics for solving difficult combinatorial optimisation 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 optimisation, particle swarm optimisation, 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 optimisation problems, packing problems, and planning problems.
The EvoCOP 2017 conference will be held in the city of Amsterdam, The Netherlands. It will be held in conjunction with EuroGP (the 19th European Conference on Genetic Programming), EvoMUSART (5th European conference on evolutionary and biologically inspired music, sound, art and design) and EvoApplications (specialist events on a range of evolutionary computation topics and applications), in a joint event collectively known as Evo*.
Areas of Interest and Contributions
Topics of interest include, but are not limited to:
Applications of metaheuristics to combinatorial optimisation problems
Novel application domains for metaheuristic optimisation methods
Representation techniques
Neighbourhoods 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
Genetic programming and Genetic algorithms
(Meta-)heuristics
Scatter search
Particle swarm optimisation
Tabu search, iterated local search and variable neighbourhood search
Memetic algorithms
Hyper-heuristics and autonomous search
Estimation of distribution algorithms
String processing
Scheduling and timetabling
Network design
Vehicle routing
Graph problems
Satisfiability
Packing and cutting problems
Energy optimisation 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
Optimisation in Cloud computing
Search-based software engineering