A Self Adaptive Differential Evolution Algorithm for Global Optimization

Abstract

This paper presents a new Differential Evolution algorithm based on hybridization of adaptive control parameters and trigonometric mutation. First we propose a self adaptive DE named ADE where choice of control parameter F and Cr is not fixed at some constant value but is taken iteratively. The proposed algorithm is further modified by applying… (More)
DOI: 10.1007/978-3-642-17563-3_13

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