Proceedings of GeoShanghai 2018 International Conference: Fundamentals of Soil Behaviours by Annan Zhou Junliang Tao Xiaoqiang Gu & Liangbo Hu

Author:Annan Zhou, Junliang Tao, Xiaoqiang Gu & Liangbo Hu
Language: eng
Format: epub
Publisher: Springer Singapore, Singapore

2 Multi-objective Differential Evolution Algorithm

The differential evolution (DE) algorithm, proposed by Price and Storn [15], is a simple yet powerful population-based stochastic search technique. DE involves two phases: initialization and evolution. In the initialization phase, the DE population is generated randomly if nothing is known about the problem. In the evolution phase, DE uses a mutation operation as a search mechanism and a selection operation based on the differences in randomly sampled pairs of solutions in the population.

A newly mutation strategy proposed by Zhang and Sanderson [16] was adopted, which places the perturbation at a location between a randomly chosen vector and the best performing vector,

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