Interpolated differential evolution for global optimisation problems
by Musrrat Ali, Millie Pant, Atulya K. Nagar
International Journal of Computing Science and Mathematics (IJCSM), Vol. 3, No. 3, 2010

Abstract: Differential Evolution (DE) is a popular metaheuristics for global optimisation, but little research has been done on its initial population generation. The selection of the initial population is important, since it affects the search for several iterations and often has an influence on the final solution. In this study, quadratic interpolation is used in conjugation with pseudorandom numbers to generate initial population for DE. The proposed algorithm named Quadratic Interpolation DE (QIDE) is validated on a set of 20 benchmark problems. Numerical results show the competence of the proposed scheme in terms of convergence rate and average CPU time.

Online publication date: Mon, 13-Dec-2010

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