Related references
Note: Only part of the references are listed.Landscape-assisted multi-operator differential evolution for solving constrained optimization problems
Karam M. Sallam et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Self-feedback differential evolution adapting to fitness landscape characteristics
Wei Li et al.
SOFT COMPUTING (2019)
An efficient evolutionary algorithm for engineering design problems
Najlawi Bilel et al.
SOFT COMPUTING (2019)
Selective Pressure Strategy in differential evolution: Exploitation improvement in solving global optimization problems
Vladimir Stanovov et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Bound constraints handling in Differential Evolution: An experimental study
Rafal Biedrzycki et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization
Ali W. Mohamed et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Distance based parameter adaptation for Success-History based Differential Evolution
Adam Viktorin et al.
SWARM AND EVOLUTIONARY COMPUTATION (2019)
Deep Reinforcement Learning Based Parameter Control in Differential Evolution
Mudita Sharma et al.
PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19) (2019)
Performance Analyses of Differential Evolution Algorithm Based on Dynamic Fitness Landscape
Kangshun Li et al.
INTERNATIONAL JOURNAL OF COGNITIVE INFORMATICS AND NATURAL INTELLIGENCE (2019)
Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms
Mang Wang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)
LSHADE Algorithm with Rank-Based Selective Pressure Strategy for Solving CEC 2017 Benchmark Problems
Vladimir Stanovov et al.
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) (2018)
Identification of freezer burn on frozen salmon surface using hyperspectral imaging and computer vision combined with machine learning algorithm
Jun-Li Xu et al.
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID (2017)
Path planning for intelligent robot based on switching local evolutionary PSO algorithm
Nianyin Zeng et al.
ASSEMBLY AUTOMATION (2016)
Orthogonal parallel MCMC methods for sampling and optimization
L. Martino et al.
DIGITAL SIGNAL PROCESSING (2016)
Differential evolution with multi-population based ensemble of mutation strategies
Guohua Wu et al.
INFORMATION SCIENCES (2016)
Self-Adaptive Differential Evolution Algorithm With Zoning Evolution of Control Parameters and Adaptive Mutation Strategies
Qinqin Fan et al.
IEEE TRANSACTIONS ON CYBERNETICS (2016)
Recent advances in differential evolution - An updated survey
Swagatam Das et al.
SWARM AND EVOLUTIONARY COMPUTATION (2016)
Differential evolution with Gaussian mutation for combined heat and power economic dispatch
C. Jena et al.
SOFT COMPUTING (2016)
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
Sk. Minhazul Islam et al.
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS (2012)
Differential evolution algorithm with ensemble of parameters and mutation strategies
R. Mallipeddi et al.
APPLIED SOFT COMPUTING (2011)
Multi-operator based evolutionary algorithms for solving constrained optimization problems
Saber M. Elsayed et al.
COMPUTERS & OPERATIONS RESEARCH (2011)
Differential Evolution with Composite Trial Vector Generation Strategies and Control Parameters
Yong Wang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2011)
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
A. K. Qin et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
JADE: Adaptive Differential Evolution With Optional External Archive
Jingqiao Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2009)
Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems
Janez Brest et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2006)
A fuzzy adaptive differential evolution algorithm
J Liu et al.
SOFT COMPUTING (2005)
Advanced fitness landscape analysis and the performance of memetic algorithms
P Merz
EVOLUTIONARY COMPUTATION (2004)
Share Paper
