Elitist Artificial Bee Colony for constrained real-parameter optimization
作者： Efren Mezura-Montes , Ramiro Ernesto Velez-Koeppel
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摘要: A novel algorithm to solve constrained realparameter optimization problems, based on the Artificial Bee Colony is introduced in this paper. The operators used by three types of bees (employed, onlooker and scout) are modified such a way that more diverse convenient solutions generated. Furthermore, dynamic tolerance control mechanism for equality constraints added order facilitate approach feasible region search space. Finally, two simple local applied best solution found so far. algorithm, called Elitist-ABC, tested 18 test problems experimental design proposed CEC'2010 competition real-parameter optimization. results obtained discussed some conclusions drawn.
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