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

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Living in the City: Or Rather Nearby? solvers that use quantum or quantum-inspired methods, such as Fujitsu’s Digital Annealer (DA) and D-wave’s Quantum Annealer, can solve optimisation problems faster than algorithms implemented on general purpose computers. However, they can only optimise problems that are in binary and quadratic for

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What Shapes Local Level Policies?,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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978-3-031-04147-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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送秋波

AVANT

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,On Monte Carlo Tree Search for?Weighted Vertex Coloring,ted Vertex Coloring Problem. Starting with the basic MCTS algorithm, we gradually introduce a number of algorithmic variants where MCTS is extended by various simulation strategies including greedy and local search heuristics. We conduct experiments on well-known benchmark instances to assess the va