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A Fast and efficient stochastic opposition-based learning for differential evolution in numerical optimization
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Differential Evolution: A Practical Approach to Global Optimization
inferredcites →https://doi.org/10.1007/3-540-45110-2_20openalex-snapshot
Distance between Populations
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The Underlying Similarity of Diversity Measures Used in Evolutionary Computation
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Diversity-Guided Evolutionary Algorithms
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An Adaptive Cauchy Differential Evolution Algorithm with Population Size Reduction and Modified Multiple Mutation Strategies
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Oppositional Concepts in Computational Intelligence
inferredcites →https://doi.org/10.1007/978-3-662-45049-9_11openalex-snapshot
An Adaptive Differential Evolution Algorithm with Automatic Population Resizing for Global Numerical Optimization
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Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks
inferredcites →https://doi.org/10.1007/s00500-010-0642-7openalex-snapshot
Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems
inferredcites →https://doi.org/10.1007/s00500-010-0645-4openalex-snapshot
Self-adaptive differential evolution with multi-trajectory search for large-scale optimization
inferredcites →https://doi.org/10.1007/s00500-010-0655-2openalex-snapshot
Improving the performance of differential evolution algorithm using Cauchy mutation
inferredcites →https://doi.org/10.1007/s00500-015-2023-8openalex-snapshot
Hybrid heuristic search method for design of digital IIR filter with conflicting objectives
inferredcites →https://doi.org/10.1007/s10462-009-9137-2openalex-snapshot
Recent advances in differential evolution: a survey and experimental analysis
inferredcites →https://doi.org/10.1007/s10732-010-9151-1openalex-snapshot
A comparative study of crossover in differential evolution
inferredcites →https://doi.org/10.1007/s11047-016-9579-9openalex-snapshot
Adaptive α-stable differential evolution in numerical optimization
inferredcites →https://doi.org/10.1016/j.asoc.2009.02.012openalex-snapshot
Influence of crossover on the behavior of Differential Evolution Algorithms
inferredcites →https://doi.org/10.1016/j.asoc.2010.01.006openalex-snapshot
A differential evolution based neural network approach to nonlinear system identification
inferredcites →https://doi.org/10.1016/j.asoc.2010.04.024openalex-snapshot
Differential evolution algorithm with ensemble of parameters and mutation strategies
inferredcites →https://doi.org/10.1016/j.asoc.2012.08.004openalex-snapshot
Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermentation process
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.003openalex-snapshot
A sinusoidal differential evolution algorithm for numerical optimisation
inferredcites →https://doi.org/10.1016/j.cor.2013.12.009openalex-snapshot
DE-VNS: Self-adaptive Differential Evolution with crossover neighborhood search for continuous global optimization
inferredcites →https://doi.org/10.1016/j.enconman.2009.10.036openalex-snapshot
Multi-objective differential evolution with adaptive Cauchy mutation for short-term multi-objective optimal hydro-thermal scheduling
inferredcites →https://doi.org/10.1016/j.energy.2015.08.019openalex-snapshot
An improved free search differential evolution algorithm: A case study on parameters identification of one diode equivalent circuit of a solar cell module
inferredcites →https://doi.org/10.1016/j.engappai.2013.12.004openalex-snapshot
A review of opposition-based learning from 2005 to 2012
inferredcites →https://doi.org/10.1016/j.ijepes.2013.09.032openalex-snapshot
Coordination of directional overcurrent relays using opposition based chaotic differential evolution algorithm
inferredcites →https://doi.org/10.1016/j.ijepes.2015.11.067openalex-snapshot
Quasi-oppositional differential evolution for optimal reactive power dispatch
inferredcites →https://doi.org/10.1016/j.ins.2008.07.031openalex-snapshot
Replacement strategies to preserve useful diversity in steady-state genetic algorithms
inferredcites →https://doi.org/10.1016/j.ins.2010.12.004openalex-snapshot
Ectropy of diversity measures for populations in Euclidean space
inferredcites →https://doi.org/10.1016/j.ins.2015.09.009openalex-snapshot
Differential evolution with multi-population based ensemble of mutation strategies
inferredcites →https://doi.org/10.1016/j.ins.2017.09.053openalex-snapshot
Ensemble of differential evolution variants
inferredcites →https://doi.org/10.1016/j.swevo.2016.01.004openalex-snapshot
Recent advances in differential evolution – An updated survey
inferredcites →https://doi.org/10.1016/j.swevo.2017.09.009openalex-snapshot
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction
inferredcites →https://doi.org/10.1016/j.swevo.2017.09.010openalex-snapshot
Opposition based learning: A literature review
inferredcites →https://doi.org/10.1016/j.swevo.2018.03.008openalex-snapshot
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
inferredcites →https://doi.org/10.1016/s0031-3203(99)00080-1openalex-snapshot
Genetic algorithms for ambiguous labelling problems
inferredcites →https://doi.org/10.1023/a:1008202821328openalex-snapshot
Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
inferredcites →https://doi.org/10.1088/1742-6596/806/1/012010openalex-snapshot
An Improved Differential Evolution Algorithm and Its Application to Large-Scale Artificial Neural Networks
inferredcites →https://doi.org/10.1109/access.2020.2964222openalex-snapshot
Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization
inferredcites →https://doi.org/10.1109/cec.2000.870755openalex-snapshot
Dynamics of a distance-based population diversity measure
inferredcites →https://doi.org/10.1109/cec.2007.4424748openalex-snapshot
Quasi-oppositional Differential Evolution
inferredcites →https://doi.org/10.1109/cec.2008.4630928openalex-snapshot
Population Diversity of Particle Swarms
inferredcites →https://doi.org/10.1109/cec.2009.4983201openalex-snapshot
Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problems
inferredcites →https://doi.org/10.1109/cec.2014.6900298openalex-snapshot
Improved differential evolution with adaptive opposition strategy
inferredcites →https://doi.org/10.1109/cec.2016.7743922openalex-snapshot
iL-SHADE: Improved L-SHADE algorithm for single objective real-parameter optimization
inferredcites →https://doi.org/10.1109/cec.2016.7744163openalex-snapshot
An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems
inferredcites →https://doi.org/10.1109/cec.2017.7969307openalex-snapshot
LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems
inferredcites →https://doi.org/10.1109/cec.2017.7969336openalex-snapshot
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems
inferredcites →https://doi.org/10.1109/cec.2017.7969337openalex-snapshot
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems
inferredcites →https://doi.org/10.1109/cec.2017.7969456openalex-snapshot
Single objective real-parameter optimization: Algorithm jSO
inferredcites →https://doi.org/10.1109/cec.2018.8477977openalex-snapshot
LSHADE Algorithm with Rank-Based Selective Pressure Strategy for Solving CEC 2017 Benchmark Problems
inferredcites →https://doi.org/10.1109/cec.2019.8789991openalex-snapshot
Modified L-SHADE for Single Objective Real-Parameter Optimization
inferredcites →https://doi.org/10.1109/cimca.2005.1631345openalex-snapshot
Opposition-Based Learning: A New Scheme for Machine Intelligence
inferredcites →https://doi.org/10.1109/foci.2007.372151openalex-snapshot
Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate
inferredcites →https://doi.org/10.1109/icnc.2007.543openalex-snapshot
Particle Swarm Optimization with Diversity-Controlled Acceleration Coefficients
inferredcites →https://doi.org/10.1109/icsmc.2009.5346043openalex-snapshot
Oppositional biogeography-based optimization
inferredcites →https://doi.org/10.1109/pdcat.2012.70openalex-snapshot
Elite Opposition-Based Differential Evolution for Solving Large-Scale Optimization Problems and Its Implementation on GPU
inferredcites →https://doi.org/10.1109/sde.2011.5952059openalex-snapshot
Opposition-based Differential Evolution with protective generation jumping
inferredcites →https://doi.org/10.1109/tcyb.2013.2239988openalex-snapshot
Differential Evolution With Ranking-Based Mutation Operators
inferredcites →https://doi.org/10.1109/tcyb.2014.2339495openalex-snapshot
Differential Evolution With Auto-Enhanced Population Diversity
inferredcites →https://doi.org/10.1109/tcyb.2015.2469722openalex-snapshot
Stochastic Opposition-Based Learning Using a Beta Distribution in Differential Evolution
inferredcites →https://doi.org/10.1109/tcyb.2016.2536167openalex-snapshot
Multiple Exponential Recombination for Differential Evolution
inferredcites →https://doi.org/10.1109/tevc.2006.872133openalex-snapshot
Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems
inferredcites →https://doi.org/10.1109/tevc.2007.894200openalex-snapshot
Opposition-Based Differential Evolution
inferredcites →https://doi.org/10.1109/tevc.2008.2009457openalex-snapshot
Differential Evolution Using a Neighborhood-Based Mutation Operator
inferredcites →https://doi.org/10.1109/tevc.2008.927706openalex-snapshot
Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
inferredcites →https://doi.org/10.1109/tevc.2009.2014613openalex-snapshot
JADE: Adaptive Differential Evolution With Optional External Archive
inferredcites →https://doi.org/10.1109/tevc.2010.2059031openalex-snapshot
Differential Evolution: A Survey of the State-of-the-Art
inferredcites →https://doi.org/10.1109/tevc.2010.2087271openalex-snapshot
Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters
inferredcites →https://doi.org/10.1109/tsmcb.2010.2056367openalex-snapshot
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization
inferredcites →https://doi.org/10.1109/tsmcb.2011.2167966openalex-snapshot
An Adaptive Differential Evolution Algorithm With Novel Mutation and Crossover Strategies for Global Numerical Optimization
inferredcites →https://doi.org/10.1145/2245276.2231996openalex-snapshot
Molecular docking with opposition-based differential evolution
inferredcites →https://doi.org/10.1145/3205651.3205689openalex-snapshot
Accelerating differential evolution using multiple exponential cauchy mutation
inferredcites →https://doi.org/10.1155/2013/969734openalex-snapshot
An Adaptive Cauchy Differential Evolution Algorithm for Global Numerical Optimization
inferredcites →https://doi.org/10.1162/106365601750190398openalex-snapshot
Completely Derandomized Self-Adaptation in Evolution Strategies
inferredcites →https://doi.org/10.1162/1063656043138923openalex-snapshot
Measures of Diversity for Populations and Distances Between Individuals with Highly Reorganizable Genomes
inferredcites →https://doi.org/10.1166/jctn.2015.3895openalex-snapshot
An Adaptive Population Resizing Scheme for Differential Evolution in Numerical Optimization
inferredcites →https://doi.org/10.1515/jaiscr-2016-0009openalex-snapshot
Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters
inferredcites →https://doi.org/10.3233/fi-2019-1764openalex-snapshot
Adaptive Differential Evolution with Elite Opposition-Based Learning and its Application to Training Artificial Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An enhanced LSHADE with generalized Pareto distribution selection for escaping local optima
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Quasi-opposition-based learning in a shuffled particle swarm optimization for solving frequency modulation sounds parameter identification problem
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Self-adaptive opposition-based differential evolution with subpopulation strategy for numerical and engineering optimization problems
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A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems
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Neighborhood centroid opposition-based flood algorithm for optimizing fractional-order PID control in nonlinear heat exchanger dynamics
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An improved LSHADE-RSP algorithm with the Cauchy perturbation: iLSHADE-RSP
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An efficient differential evolution algorithm based on orthogonal learning and elites local search mechanisms for numerical optimization
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Adaptive search space for stochastic opposition-based learning in differential evolution
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Bilevel fairness strategy based computation efficiency maximization for NOMA-aided edge network
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Two-level parameter cooperation-based population regeneration framework for differential evolution
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Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models
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