Titlebook: Evolutionary Computation in Combinatorial Optimization; 22nd European Confer Leslie Pérez Cáceres,Sébastien Verel Conference proceedings 20

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PUBO,: A Tunable Benchmark with Variable Importance, pseudo-boolean optimization problems. Any mono-objective pseudoboolean functions including existing classical optimization problems can be expressed with Walsh functions. The benchmark generator can tune main features of problems such as problem dimension, non-linearity degree, and neutrality. Addi

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Stagnation Detection Meets Fast Mutation,ation rate drawn from a heavy-tailed distribution (“fast mutation”, Doerr et al. (2017)) and increasing the mutation strength based on a stagnation detection mechanism (Rajabi and Witt (2020)). Whereas the latter can obtain the asymptotically best probability of finding a single desired solution in

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,Performance Evaluation of a Parallel Ant Colony Optimization for the Real-Time Train Routing Select, we test two parallel local search strategies, which consider different solution neighbourhoods. Computational experiments are performed on the practical case study of Lille Flandres station area in France. The results show a significant speed-up of the rtTRSP search space exploration and more prom

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,Deep Infeasibility Exploration Method for Vehicle Routing Problems,ions from the main pool. We demonstrate our method on the vehicle routing problems, with variants respecting time, vehicle capacity and fleet limitation constraints. Our method provided a large number of new best-known solutions on well-known benchmark datasets. Although our method is designed for t