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Asynchronous Differential Evolution
2012Differential Evolution (DE) is an algorithm to solve possibly nonlinear and non-differentiable global optimization problems. Classical Differential Evolution (CDE) employs a synchronous generation-based evolution strategy. We propose a modification of the CDE algorithm by incorporating mutation, crossover and selection operations into an asynchronous ...
Evgeniya Zhabitskaya, Mikhail Zhabitsky
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An adaptive regeneration framework based on search space adjustment for differential evolution
Neural computing & applications (Print), 2021Gaoji Sun, Chunlei Li, Libao Deng
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Differential Evolution: A Survey of the State-of-the-Art
IEEE Transactions on Evolutionary Computation, 2011Swagatam Das, P. Suganthan
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JADE: Adaptive Differential Evolution With Optional External Archive
IEEE Transactions on Evolutionary Computation, 2009Jingqiao Zhang, A. Sanderson
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Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
IEEE Transactions on Evolutionary Computation, 2009A. K. Qin, V. L. Huang, P. Suganthan
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Dynamic hybrid mechanism-based differential evolution algorithm and its application
Expert systems with applications, 2022Yingjie Song +7 more
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Two-stage differential evolution with novel parameter control
Information Sciences, 2022Zhenyu Meng, Cheng Yang
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Differential evolution using improved crowding distance for multimodal multiobjective optimization
Swarm and Evolutionary Computation, 2021Caitong Yue +6 more
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