Title :
Shake Regicide: A New Heuristic for the Diversity Control of Evolutionary Algorithms
Author :
Ramirez, J. ; Rivera, Mariano ; Hernandez-Aguirre, Arturo
Author_Institution :
Centro de Investig. en Matemdticas A.C., Guanajuato
Abstract :
Evolutionary algorithms have been very successful at solving global optimization problems. Two competing goals govern the performance of evolutionary algorithms: exploration and exploitation. This paper proposes a new heuristic to keep population diversity: the shake and the regicide. The shake heuristic improves the exploration by perturbing the whole population. The regicide heuristic (kill the leader) reduces the risk of being, early, trapped by a local minimum. Experiments demonstrate that the Shake-Regicide heuristic improves significantly the precision of the results (in about 3 orders of magnitude) of standard differential evolution, genetic algorithm and evolution strategy.
Keywords :
genetic algorithms; Shake-Regicide heuristic; diversity control; evolutionary algorithms; genetic algorithm; global optimization problems; shake heuristic; standard differential evolution; Artificial intelligence; Cultural differences; Evolution (biology); Evolutionary computation; Genetic algorithms; Genetic mutations; Physics; Production; Refining; Robustness; diversity control; evolutionary algorithm; global optimization;
Conference_Titel :
Artificial Intelligence - Special Session, 2007. MICAI 2007. Sixth Mexican International Conference on
Conference_Location :
Aguascallentes
Print_ISBN :
978-0-7695-3124-3
DOI :
10.1109/MICAI.2007.9