Titlebook: Evolutionary Computation in Combinatorial Optimization; 11th European Confer Peter Merz,Jin-Kao Hao Conference proceedings 2011 Springer Be

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Evolutionary Computation in Combinatorial Optimization978-3-642-20364-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1057/9780333981733tions, and two local search schemes to enhance its performance for the MOUCTP. The experimental results based on a set of test problems show that the proposed algorithm is efficient for solving the MOUCTP.

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Tom Dyson,Theodore Konstadinidesocess. This paper presents a new methodology to design and implement efficiently GPU-based multiobjective local search algorithms. The experimental results show that the approach is promising especially for large problem instances.

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Experiments in Parallel Constraint-Based Local Search, manner, that is, each process is an independent search engine and there is no communication between the simultaneous computations. Preliminary performance evaluation on a variety of classical CSPs benchmarks shows that speedups are very good for a few tens of processors, and good up to a few hundreds of processors.