Abstract
There is a remarkable performance of differential evolution (DE) algorithm on continuous space problem. Mutation plays a very vital role in success of DE but in traditional DE all the vectors are selected in random manner. Sometimes, it gives a random exploration in search space. Here, the distance-based analysis for mutation vector selection is carried out and distance-based criteria for base vector (reference point) selection have proposed. Experimentation is conducted on eight standard uni-model and multi-model functions. Later, the results have compared with standard DE and other variant of DE. Experiments show that the proposed strategy has a very steady and stable exploration of search space.
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Khaparde, A.R., Raghuwanshi, M.M., Malik, L.G. (2015). Distance-Based Analysis for Base Vector Selection in Mutation Operation of Differential Evolution Algorithm. In: Das, K., Deep, K., Pant, M., Bansal, J., Nagar, A. (eds) Proceedings of Fourth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 335. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2217-0_36
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DOI: https://doi.org/10.1007/978-81-322-2217-0_36
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