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An Improved Differential Evolution Algorithm for Optimization Problems
2011There are many optimization problems in the intelligent material and adaptive material fields. Differential evolution (DE) is simple and effective and has been successfully applied to solve optimization problems. And it can be applied to intelligent material field.
Libiao Zhang +4 more
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An improved adaptive differential evolution algorithm with population adaptation
Proceedings of the 15th annual conference on Genetic and evolutionary computation, 2013In differential evolution (DE), there are many adaptive algorithms proposed for parameters adaptation. However, they mainly aim at tuning the amplification factor F and crossover probability CR. When the population diversity is at a low level or the population becomes stagnant, the population is not able to improve any more.
Ming Yang 0003 +3 more
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An Improved Differential Evolution Algorithm for Unconstrained Optimization Problems
2016 12th International Conference on Computational Intelligence and Security (CIS), 2016Traditional differential evolution (DE) algorithm has a tendency to suffer from premature convergence. In this paper, we proposed an improved DE based on dynamic mutation operator and opposition learning strategy. These mechanisms can expand the search area and is helpful to balance exploration and exploitation of DE.
Jie Liu, Xiaofang Guo
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On the improvement of Differential Evolution for global optimization
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010Differential Evolution (DE) is a population-based search algorithm, which has shown good search abilities in many optimization problems. In this paper, we propose a novel DE algorithm, called IDE, to improve the performance of DE. In order to verify the performance of the proposed approach, we test IDE on eight well-known benchmark problems.
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Improved differential evolution with dynamic mutation parameters
Soft Computing, 2023Yifeng Lin, Yuer Yang, Yinyan Zhang
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An Improved Differential Evolution Based on Triple Evolutionary Strategy
2008Differential Evolution (DE) is an evolution algorithm that was proposed by Storn and Price in 1997, which has already succeeded in applying to solve optimization questions in a lot of fields. This paper discusses various kinds of characteristics that DE demonstrates at first, then propose an improved differential evolution algorithm (TSDE) which has ...
Yichao He, Yingzhan Kou, Chunpu Shen
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Improvement of Grammatical Differential Evolution
The Proceedings of The Computational Mechanics Conference, 2016Risako YAMAMOTO +4 more
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An improved differential evolution algorithm for the task assignment problem
Engineering Applications of Artificial Intelligence, 2011Dexuan Zou, Haikuan Liu, Liqun Gao
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