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Differential Evolution Enhanced With Multiobjective Sorting-Based Mutation Operators

https://doi.org/10.1109/tcyb.2014.2316552
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-31306-0openalex-snapshot
Differential Evolution: A Practical Approach to Global Optimization
inferredcites →https://doi.org/10.1007/3-540-45712-7_41openalex-snapshot
Increasing the Serial and the Parallel Performance of the CMA-Evolution Strategy with Large Populations
inferredcites →https://doi.org/10.1007/s00500-008-0323-yopenalex-snapshot
KEEL: a software tool to assess evolutionary algorithms for data mining problems
inferredcites →https://doi.org/10.1007/s00500-010-0614-yopenalex-snapshot
Improving the performance and scalability of Differential Evolution on problems exhibiting parameter interactions
inferredcites →https://doi.org/10.1007/s00500-010-0640-9openalex-snapshot
Shuffle or update parallel differential evolution for large-scale optimization
inferredcites →https://doi.org/10.1007/s00500-010-0641-8openalex-snapshot
Role differentiation and malleable mating for differential evolution: an analysis on large-scale optimisation
inferredcites →https://doi.org/10.1007/s00500-010-0689-5openalex-snapshot
Classification-based self-adaptive differential evolution with fast and reliable convergence performance
inferredcites →https://doi.org/10.1007/s00500-013-1195-3openalex-snapshot
Enhancing differential evolution with role assignment scheme
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/s10732-008-9080-4openalex-snapshot
A study on the use of non-parametric tests for analyzing the evolutionary algorithms’ behaviour: a case study on the CEC’2005 Special Session on Real Parameter Optimization
inferredcites →https://doi.org/10.1007/s11390-012-1283-3openalex-snapshot
Differential Evolution with Adaptive Mutation and Parameter Control Using Lévy Probability Distribution
inferredcites →https://doi.org/10.1016/j.asoc.2012.08.046openalex-snapshot
Review of phenotypic diversity formulations for diagnostic tool
inferredcites →https://doi.org/10.1016/j.ejor.2004.08.047openalex-snapshot
A numerical study of some modified differential evolution algorithms
inferredcites →https://doi.org/10.1016/j.engappai.2013.05.002openalex-snapshot
On the equivalences and differences of evolutionary algorithms
inferredcites →https://doi.org/10.1016/j.ins.2011.09.001openalex-snapshot
Enhancing the search ability of differential evolution through orthogonal crossover
inferredcites →https://doi.org/10.1016/j.swevo.2011.02.002openalex-snapshot
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
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/10.1023/b:naco.0000023416.59689.4eopenalex-snapshot
Learning probability distributions in continuous evolutionary algorithms – a comparative review
inferredcites →https://doi.org/10.1109/4235.996017openalex-snapshot
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/cec.2013.6557591openalex-snapshot
A genetic algorithm for solving the CEC'2013 competition problems on real-parameter optimization
inferredcites →https://doi.org/10.1109/cec.2013.6557692openalex-snapshot
A CMA-ES super-fit scheme for the re-sampled inheritance search
inferredcites →https://doi.org/10.1109/cec.2013.6557761openalex-snapshot
Hybrid Mean-Variance Mapping Optimization for solving the IEEE-CEC 2013 competition problems
inferredcites →https://doi.org/10.1109/cec.2013.6557797openalex-snapshot
Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization
inferredcites →https://doi.org/10.1109/cec.2013.6557832openalex-snapshot
Testing a Particle Swarm Optimization and Artificial Bee Colony Hybrid algorithm on the CEC13 benchmarks
inferredcites →https://doi.org/10.1109/tcyb.2013.2239988openalex-snapshot
Differential Evolution With Ranking-Based Mutation Operators
inferredcites →https://doi.org/10.1109/tcyb.2013.2245501openalex-snapshot
Differential Evolution With Neighborhood and Direction Information for Numerical Optimization
inferredcites →https://doi.org/10.1109/tcyb.2013.2279211openalex-snapshot
Differential Evolution With Two-Level Parameter Adaptation
inferredcites →https://doi.org/10.1109/tevc.2003.819944openalex-snapshot
Meta-Lamarckian Learning in Memetic Algorithms
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.2010.2081369openalex-snapshot
Improving Classical and Decentralized Differential Evolution With New Mutation Operator and Population Topologies
inferredcites →https://doi.org/10.1109/tevc.2010.2083670openalex-snapshot
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators
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/tevc.2011.2170075openalex-snapshot
Review and Study of Genotypic Diversity Measures for Real-Coded Representations
inferredcites →https://doi.org/10.1109/tevc.2013.2281543openalex-snapshot
Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization
inferredcites →https://doi.org/10.1109/tsmcb.2009.2015956openalex-snapshot
Adaptive Particle Swarm Optimization
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.2011.2160625openalex-snapshot
On Convergence of Differential Evolution Over a Class of Continuous Functions With Unique Global Optimum
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/10.1109/tsmcb.2011.2171946openalex-snapshot
A Self-Learning Particle Swarm Optimizer for Global Optimization Problems
inferredcites →https://doi.org/10.1109/tsmcb.2012.2213808openalex-snapshot
Gaussian Bare-Bones Differential Evolution
inferredcites →https://doi.org/10.1145/1276958.1277221openalex-snapshot
Differential evolution and non-separability
inferredcites →https://doi.org/10.1145/2480741.2480752openalex-snapshot
Exploration and exploitation in evolutionary algorithms
inferredcites →https://doi.org/10.2307/3001968openalex-snapshot
Individual Comparisons by Ranking Methods

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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RL-Based Online Mutation Strategy Selection Techniques in Differential Evolution: A Study
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Handling Multiobjectives with Adaptive Mutation Based $$\varepsilon $$-Dominance Differential Evolution
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Gray-Coded Clonal Selection Algorithm for Optimization Problem
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Large-Scale Evolutionary Optimization Using Multi-Layer Strategy Differential Evolution
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A General Selection Method for Mutation Strategy in Differential Evolution
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Event-Triggering Impulsive Differential Evolution
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Cellular direction information based differential evolution for numerical optimization: an empirical study
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Neighborhood guided differential evolution
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New mutation strategies of differential evolution based on clearing niche mechanism
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A two-stage intrusion detection approach for software-defined IoT networks
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review
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An enhanced utilization mechanism of population information for Differential evolution
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Fitness and Collaborative Information-Driven Differential Evolution Algorithm for Bound-Constrained and Real-World Application Problems
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Utilizing cumulative population distribution information in differential evolution
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Neighborhood-adaptive differential evolution for global numerical optimization
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Prediction of cooling efficiency of forced-air precooling systems based on optimized differential evolution and improved BP neural network
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An adaptive population size based Differential Evolution by mining historical population similarity for path planning of unmanned aerial vehicles
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Intrusion detection based on Machine Learning techniques in computer networks
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Peer Review #2 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.1)"
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Peer Review #1 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.2)"
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Peer Review #2 of "X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution (v0.2)"
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A hybridizing-enhanced differential evolution for optimization
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X-architecture Steiner minimal tree algorithm based on multi-strategy optimization discrete differential evolution
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.