Differential evolution with adaptive mutation strategy based on fitness landscape analysis
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Differential evolution with adaptive mutation strategy based on fitness landscape analysis
Authors
Keywords
Differential evolution, Adaptive mutation strategy, Fitness landscape, Random forest
Journal
INFORMATION SCIENCES
Volume 549, Issue -, Pages 142-163
Publisher
Elsevier BV
Online
2020-11-28
DOI
10.1016/j.ins.2020.11.023
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
- (2019) Karam M. Sallam et al. EXPERT SYSTEMS WITH APPLICATIONS
- An efficient evolutionary algorithm for engineering design problems
- (2018) Najlawi Bilel et al. SOFT COMPUTING
- Selective Pressure Strategy in differential evolution: Exploitation improvement in solving global optimization problems
- (2018) Vladimir Stanovov et al. Swarm and Evolutionary Computation
- Bound constraints handling in Differential Evolution: An experimental study
- (2018) Rafał Biedrzycki 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
- Distance based parameter adaptation for Success-History based Differential Evolution
- (2018) Adam Viktorin et al. Swarm and Evolutionary Computation
- Population Evolvability: Dynamic Fitness Landscape Analysis for Population-based Metaheuristic Algorithms
- (2017) Mang Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Identification of freezer burn on frozen salmon surface using hyperspectral imaging and computer vision combined with machine learning algorithm
- (2017) Jun-Li Xu et al. INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID
- Self-feedback differential evolution adapting to fitness landscape characteristics
- (2017) Wei Li et al. SOFT COMPUTING
- Path planning for intelligent robot based on switching local evolutionary PSO algorithm
- (2016) Nianyin Zeng et al. ASSEMBLY AUTOMATION
- Orthogonal parallel MCMC methods for sampling and optimization
- (2016) L. Martino et al. DIGITAL SIGNAL PROCESSING
- Differential evolution with multi-population based ensemble of mutation strategies
- (2016) Guohua Wu et al. INFORMATION SCIENCES
- 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
- Differential evolution with Gaussian mutation for combined heat and power economic dispatch
- (2014) C. Jena et al. SOFT COMPUTING
- Multi-operator based evolutionary algorithms for solving constrained optimization problems
- (2011) Saber M. Elsayed et al. COMPUTERS & OPERATIONS RESEARCH
- Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
- (2011) Yong Wang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- 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 algorithm with ensemble of parameters and mutation strategies
- (2010) R. Mallipeddi et al. APPLIED SOFT COMPUTING
- 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
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now