A simple differential evolution with time-varying strategy for continuous optimization
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Title
A simple differential evolution with time-varying strategy for continuous optimization
Authors
Keywords
Differential evolution, Time-varying strategy, Evolutionary algorithm, Continuous optimization
Journal
SOFT COMPUTING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-06-24
DOI
10.1007/s00500-019-04159-0
References
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- (2018) Rawaa Dawoud Al-Dabbagh et al. Swarm and Evolutionary Computation
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- (2018) Amer Draa et al. Swarm and Evolutionary Computation
- Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization
- (2018) Ali W. Mohamed et al. Swarm and Evolutionary Computation
- Multimodal multiobjective optimization with differential evolution
- (2018) Jing Liang et al. Swarm and Evolutionary Computation
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- (2016) Rohan Mukherjee et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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- (2016) Xin Qiu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Engineering design optimization using an improved local search based epsilon differential evolution algorithm
- (2016) Wenchao Yi et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies
- (2016) Qinqin Fan et al. IEEE Transactions on Cybernetics
- Recent advances in differential evolution – An updated survey
- (2016) Swagatam Das et al. Swarm and Evolutionary Computation
- A sinusoidal differential evolution algorithm for numerical optimisation
- (2015) Amer Draa et al. APPLIED SOFT COMPUTING
- Adaptive Ranking Mutation Operator Based Differential Evolution for Constrained Optimization
- (2015) Wenyin Gong et al. IEEE Transactions on Cybernetics
- Differential Evolution With Two-Level Parameter Adaptation
- (2014) Wei-Jie Yu et al. IEEE Transactions on Cybernetics
- Exploration and exploitation in evolutionary algorithms
- (2013) Matej Črepinšek et al. ACM COMPUTING SURVEYS
- Differential Evolution With Dynamic Parameters Selection for Optimization Problems
- (2013) Ruhul A. Sarker et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Differential Evolution With Ranking-Based Mutation Operators
- (2013) Wenyin Gong et al. IEEE Transactions on Cybernetics
- Dynamic group-based differential evolution using a self-adaptive strategy for global optimization problems
- (2012) Ming-Feng Han et al. APPLIED INTELLIGENCE
- Constrained optimization based on modified differential evolution algorithm
- (2012) Ali Wagdy Mohamed et al. INFORMATION SCIENCES
- An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
- (2011) S. M. Islam et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Differential Evolution: A Survey of the State-of-the-Art
- (2010) Swagatam Das et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- JADE: Adaptive Differential Evolution With Optional External Archive
- (2009) Jingqiao Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- (2008) A.K. Qin et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Global and local real-coded genetic algorithms based on parent-centric crossover operators
- (2006) C. García-Martínez et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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