Mixed DE – ABC Algorithm for Global Optimization Problems

Tarun Kumar Sharma, Millie Pant


This paper presents a simple, hybrid two phase optimization algorithm called DE – ABC and Self – Adaptive DE - ABC for solving global optimization problems. DE – ABC consists of alternating phases of Differential Evolution (DE) and Artificial Bee Colony (ABC). The algorithm is designed so as to preserve the strengths of both the algorithms. In this paper we compared the performance of the Self-Adaptive DE – ABC algorithm with that of DE, ABC, and DE – ABC on a set of multidimensional numerical optimization problems. Empirical results show that the proposed Self – Adaptive DEABC is quite competent for solving the problems

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