An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems
作者： Ivona Brajevic , Milan Tuba
DOI: 10.1007/S10845-011-0621-6
关键词:
摘要: Artificial bee colony (ABC) algorithm developed by Karaboga is a nature inspired metaheuristic based on honey foraging behavior. It was successfully applied to continuous unconstrained optimization problems and later it extended constrained design as well. This paper introduces an upgraded artificial (UABC) for problems. Our UABC enhances fine-tuning characteristics of the modification rate parameter employs modified scout phase ABC algorithm. has been implemented tested standard engineering benchmark performance compared latest Akay Karaboga's numerical results show that proposed produces better or equal best average solutions in less evaluations all cases.
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