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Titlebook: Evolutionary Computation in Combinatorial Optimization; 4th European Confere Jens Gottlieb,Günther R. Raidl Conference proceedings 2004 Spr

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On the Use of Path Relinking for the , – Hub Median Problems. In this paper, we present an application of Path Relinking to solve the p – hub median problem and compare its effectiveness with other classical techniques. This procedure provides high quality solutions in reasonable execution times and yields a significant improvement in the size of the problems that can be solved.
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https://doi.org/10.1007/978-3-319-94740-2Our algorithm exploits a novel, highly-specialized crossover operator that considers domain-specific information. Computational experiments performed on various synthetic benchmarks prove that our method significantly outperform the state-of-the-art algorithms with respect to all given comparison metrics on solution quality.
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,Design Data for Column with 20-mmØ Rebar,olving the referred problem is tested and compared with other two metaheuristics: a greedy randomized adaptive search procedure (GRASP) and an hybrid memetic heuristic that combines a genetic algorithm (GA) and a local search. The computational results on a set of standard test problems show the suitability of the approach.
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https://doi.org/10.1007/978-3-319-25270-4s paper the concept of .-non-dominance is introduced which is based on indifference thresholds. Experiments dealing with the use of this technique in the framework of an evolutionary approach are reported to provide decision support in the identification and selection of electric load control strategies.
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