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Titlebook: Evolutionary Computation in Combinatorial Optimization; 9th European Confere Carlos Cotta,Peter Cowling Conference proceedings 2009 Springe

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Reflections on Multiculturalism,sed to perform nearly 155 CPU-days of experiments. The results show that the new methods can produce results fitter than rVNS methods and within 99% of the fitness of those produced by a highly CPU-intensive greedy hyperheuristic in a fraction of the time.
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Milta Oyola Little D.O., C.M.D.local search and problem-dependent local searches. The experimental results for the standard benchmarks for the JSP demonstrate that the suggested GES is robust and highly competitive with the state-of-the-art metaheuristics for the JSP.
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A Hybrid Algorithm for Computing Tours in a Spare Parts Warehouse,local improvement procedure within VNS. Experimental results indicate that our method provides valuable pickup plans, whereas the computation times are kept low and several constraints typically stated by spare parts suppliers are fulfilled.
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An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem,l results which revealed a link between predefined profit values of a mode assignment and its makespan. The impact of the algorithmic parameters and the initial population generation method is observed and detailed comparative computational results for the MRCPSP are presented.
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Beam-ACO Based on Stochastic Sampling for Makespan Optimization Concerning the TSP with Time Windownding information for differentiating between partial solutions. In this work we use stochastic sampling as an alternative to bounding information. Our results clearly demonstrate that the proposed algorithm is currently a state-of-the-art method for the tackled problem.
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Binary Exponential Back Off for Tabu Tenure in Hyperheuristics,sed to perform nearly 155 CPU-days of experiments. The results show that the new methods can produce results fitter than rVNS methods and within 99% of the fitness of those produced by a highly CPU-intensive greedy hyperheuristic in a fraction of the time.
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Guided Ejection Search for the Job Shop Scheduling Problem,local search and problem-dependent local searches. The experimental results for the standard benchmarks for the JSP demonstrate that the suggested GES is robust and highly competitive with the state-of-the-art metaheuristics for the JSP.
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