This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary
Computation in Combinatorial Optimization EvoCOP 2017 held in Amsterdam The Netherlands in
April 2017 co-located with the Evo*2017 events EuroGP EvoMUSART and EvoApplications. The 16
revised full papers presented were carefully reviewed and selected from 39 submissions. The
papers cover both empirical and theoretical studies on a wide range of academic and real-world
applications. The methods include evolutionary and memetic algorithms large neighborhood
search estimation of distribution algorithms beam search ant colony optimization
hyper-heuristics and matheuristics. Applications include both traditional domains such as
knapsack problem vehicle routing scheduling problems and SAT and newer domains such as the
traveling thief problem location planning for car-sharing systems and spacecraft trajectory
optimization. Papers also study important concepts such as pseudo-backbones phase transitions
in local optima networks and the analysis of operators. This wide range of topics makes the
EvoCOP proceedings an important source for current research trends in combinatorial
optimization.
