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

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European Cinema in the Streaming Era Unit or Hitachi’s CMOS Annealing Machine. We implemented the QUBO model for the Costas Array Problem on several hardware solvers based on quantum annealing (D-Wave Advantage, Fujitsu DA3 and Fixstars AE) and present some performance result for these implementations, along those of state-of-the-art metaheuristics solvers on classical hardware.

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,Modeling the Costas Array Problem in QUBO for Quantum Annealing, Unit or Hitachi’s CMOS Annealing Machine. We implemented the QUBO model for the Costas Array Problem on several hardware solvers based on quantum annealing (D-Wave Advantage, Fujitsu DA3 and Fixstars AE) and present some performance result for these implementations, along those of state-of-the-art metaheuristics solvers on classical hardware.

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https://doi.org/10.1057/9780230287068lem. Hyper-heuristics have been mainly introduced to tackle this issue and are mostly relying on Genetic Programming and its variants. Many attempts in the literature have shown that an automatic training mechanism for heuristic learning is possible and can challenge human-based heuristics in terms

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https://doi.org/10.1057/9780230378414e routing domain. This problem has been modelled with various extensions to address different real-world problems like tourist trip planning. The complexity of the problem motivated to devise new algorithms. However, none of the existing algorithms came with the best performance across all the widel

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https://doi.org/10.1007/978-3-030-34564-8est routing alternatives. Solving the rtTRSP aims to limit the search space of train rescheduling problems, highly affected by the number of routing variables. The rtTRSP is modelled as the minimum weight clique problem in an undirected .-partite graph. This problem is NP-hard and the problem size s

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Toward a Global European Cinemasociated optimization problem is called the Role Mining Problem (RMP), which is known to be NP-complete. The goal is to search for role concepts minimizing the number of roles. Algorithms for this task are presented in literature, but often they cannot be used for role mining in ERP in a straightfor

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European Cinema and Intertextualityhe GP-evolved rules are often very large and complex, and are hard to interpret. Simplification is a promising technique that can reduce the size of GP individuals without sacrificing effectiveness. However, GP with simplification has not been studied in the context of evolving DJSS rules. This pape

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