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Titlebook: Evolutionary Computation in Combinatorial Optimization; 12th European Confer Jin-Kao Hao,Martin Middendorf Conference proceedings 2012 Spri

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楼主: deferential
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Intensification/Diversification-Driven ILS for a Graph Coloring Problem,This paper presents an extension of the ILS algorithm, called ., by introducing new local search devices that enforce an efficient tradeoff of intensification and diversification. Experiments performed on the DIMACS benchmarks show that our method is competitive with the best coloring algorithms.
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Europe and the End of the Age of Innocencerine terminals. In this context, we propose a heuristic to solve a continuous case of the BAP. This heuristic is based on the application of the Clustering Search (CS) method with the Simulated Annealing (SA) metaheuristic. The results obtained by CS are compared to other methods found in the literature and its competitiveness is verified.
发表于 2025-3-31 00:26:42 | 显示全部楼层
An ILS-Based Metaheuristic for the Stacker Crane Problem,ractical problem of operating a crane. Here we present a formulation and a lower bound for this problem and propose a metaheuristic algorithm based on the combination of a Multi-start and an Iterated Local Search procedures. Computational results on a large set of instances are presented.
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Clustering Search Heuristic for Solving a Continuous Berth Allocation Problem,rine terminals. In this context, we propose a heuristic to solve a continuous case of the BAP. This heuristic is based on the application of the Clustering Search (CS) method with the Simulated Annealing (SA) metaheuristic. The results obtained by CS are compared to other methods found in the literature and its competitiveness is verified.
发表于 2025-3-31 07:13:11 | 显示全部楼层
https://doi.org/10.1007/978-3-642-29124-1evolutionary algorithm; genetic algorithm; hyper-heuristic; multi-objective optimization; stochastic opt
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