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Keyword

mutation operator

Description: A genetic algorithm operation that randomly alters candidate solutions to maintain variation and explore the search space.
OpenAlex ID: keywords/mutation-operator
Handling multiple objectives with particle swarm optimization
2004 · C.A.C. Coello, G.T. Pulido, et al. · IEEE Transactions on Evolutionary Computation · 4,468
Evolutionary programming made faster
1999 · Xin Yao, Yong Liu, et al. · IEEE Transactions on Evolutionary Computation · 3,920
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
2004 · A. Ratnaweera, S.K. Halgamuge, et al. · IEEE Transactions on Evolutionary Computation · 3,037
Large-Scale Evolution of Image Classifiers
2017 · Real, Esteban, Moore, Sherry, et al. · arXiv (Cornell University) · 1,298
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Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
1998 · F. Herrera, M. Lozano, et al. · Artificial Intelligence Review · 1,145
A new evolutionary system for evolving artificial neural networks
1997 · X. Yao, Y. Liu · IEEE Transactions on Neural Networks · 874
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators
1999 · P. Larrañaga, C.M.H. Kuijpers, et al. · Artificial Intelligence Review · 849
Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ∈-Dominance
2005 · Margarita Reyes Sierra, Carlos A. Coello Coello · Lecture notes in computer science · 805
Is mutation an appropriate tool for testing experiments?
2005 · J. H. Andrews, L. C. Briand, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 795
Applying adaptive algorithms to epistatic domains
1985 · Lawrence Davis · International Joint Conference on Artificial Intelligence · 693
A real coded genetic algorithm for solving integer and mixed integer optimization problems
2009 · Kusum Deep, Krishna Pratap Singh, et al. · Applied Mathematics and Computation · 686
An improved TS algorithm for loss-minimum reconfiguration in large-scale distribution systems
2006 · Dong Zhang, Zhengcai Fu, et al. · Electric Power Systems Research · 645
An effective use of crowding distance in multiobjective particle swarm optimization
2005 · Carlo R. Raquel, Prospero C. Naval · Genetic and Evolutionary Computation Conference (GECCO) · 644
Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
2013 · Hao Quan, Dipti Srinivasan, et al. · IEEE Transactions on Neural Networks and Learning Systems · 615
A comparative study of differential evolution variants for global optimization
2006 · Efrñn Mezura-Montes, Jesús Velázquez-Reyes, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 602
Fast evolution strategies
1997 · Xin Yao, Yong Liu · Lecture notes in computer science · 553
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
2006 · J.H. Andrews, L.C. Briand, et al. · IEEE Transactions on Software Engineering · 483
An effective genetic algorithm for the flexible job-shop scheduling problem
2010 · Guohui Zhang, Liang Gao, et al. · Expert Systems with Applications · 475
On the Evolutionary Optimization of Many Conflicting Objectives
2007 · Robin C. Purshouse, Peter J. Fleming · IEEE Transactions on Evolutionary Computation · 451
Binary PSO with mutation operator for feature selection using decision tree applied to spam detection
2014 · Yudong Zhang, Shuihua Wang, et al. · Knowledge-Based Systems · 431
Fitness landscape analysis and memetic algorithms for the quadratic assignment problem
2000 · B. Freisleben, P. Merz · IEEE Transactions on Evolutionary Computation · 427
An improved ant colony optimization for vehicle routing problem
2008 · Bin Yu, Zhong-Zhen Yang, et al. · European Journal of Operational Research · 420
Binary grasshopper optimisation algorithm approaches for feature selection problems
2018 · Majdi Mafarja, Ibrahim Aljarah, et al. · Expert Systems with Applications · 397
A new mutation operator for real coded genetic algorithms
2007 · Kusum Deep, Manoj Thakur · Applied Mathematics and Computation · 390
Evolutionary Generative Adversarial Networks
2019 · Chaoyue Wang, Chang Xu, et al. · IEEE Transactions on Evolutionary Computation · 379
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Works count: 6,869
Citation count: 107,600
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