Evolutionary Computation in Combinatorial Optimization

This
book constitutes the refereed proceedings of the 16th European Conference on
Evolutionary Computation in Combinatorial Optimization, EvoCOP 2016, held in Porto,
Portugal, in March/April 2016, co-located with the Evo*2015 events EuroGP,
EvoMUSART and EvoApplications.
The
17 revised full papers presented were carefully reviewed and selected from 44
submissions. The papers cover methodology, applications and theoretical studies. The
methods included evolutionary and memetic algorithms, variable neighborhood
search, particle swarm optimization, hyperheuristics, mat-heuristic and other
adaptive approaches. Applications included both traditional domains, such as
graph coloring, vehicle routing, the longest common subsequence problem, the
quadratic assignment problem; and new(er) domains such as the traveling thief
problem, web service location, and finding short addition chains. The
theoretical studies involved fitness landscape analysis, local search and recombination
operator analysis, and the big valley search space hypothesis. The
consideration of multiple objectives, dynamic and noisy environments was also
present in a number of articles.