Abstract
In the present paper propose two novel variants of Differential Evolution (DE), named IP-OBL and IP-NSDE, have been proposed. In IP-OBL the initial population is generated by using the intermediate positions between the uniformly generated random numbers and opposition based numbers. While in case of IP-NSDE, the initial population is generated as an intermediate of uniform random numbers and numbers generated by Nelder Mead Method. The proposed algorithms are further modified by selecting best NP/2 individuals to perform in population evolution. The modified variants are termed as MIP-OBL and MIP-NSDE. The numerical results of 10 benchmark problems indicate the competence of the proposed algorithms.
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Sharma, T.K., Pant, M. (2011). Intermediate Population Based Differential Evolution Algorithm. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_24
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DOI: https://doi.org/10.1007/978-3-642-25734-6_24
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