Victor Parada

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Genetic algorithms are powerful search methods inspired by Darwinian evolution. To date, they have been applied to the solution of many optimization problems because of the easy use of their properties and their robustness in finding good solutions to difficult problems. The good operation of genetic algorithms is due in part to its two main variation(More)
Generic Iterative Simulated-Annealing Search (GISS) is a hyper-heuristic algorithm inspired on a Simulated Annealing driven method, on this context its used to explore across the different instance-heuristic-state search space. On this extended abstract we describe the proposed approach, characteristics and others technicals parameters. 1 Proposed Approach(More)
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