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Improving the Performance of CODEQ using Quadratic Interpolation

CODEQ is a new, population-based meta-heuristic algorithm that is a hybrid of concepts from chaotic search, opposition-based learning, differential evolution and quantum mechanics. CODEQ has successfully been used to solve different types of problems (e.g. constrained, integer-programming, engineering) with excellent results. In this paper, a new mutated vector based on quadratic interpolation (QI) is incorporated into CODEQ. The proposed method is compared with the original CODEQ and a differential evolution variant the uses QI on eleven benchmark functions. The results show that using QI improves both the efficiency and effectiveness of CODEQ.