Keyword

crossover operator

Description: A genetic algorithm operator that combines genetic material from parent solutions to create offspring for search and optimization.

Primary topic: Metaheuristic Optimization Algorithms Research (42%)

OpenAlex ID: keywords/crossover-operator

Simulated Binary Crossover for Continuous Search Space.

1995 · Kalyanmoy Deb, Ram Bhushan Agrawal · Complex Systems · 2,983

Uniform crossover in genetic algorithms

1989 · Gilbert Syswerda · international conference on Genetic algorithms · 1,960

Genetic K-means algorithm

1999 · K. Krishna, M. Narasimha Murty · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 1,720

Real-Coded Genetic Algorithms and Interval-Schemata

1993 · Larry J. Eshelman, J. David Schaffer · Foundations of genetic algorithms · 1,670

Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis

1998 · F. Herrera, M. Lozano, et al. · Artificial Intelligence Review · 1,145

The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination

1991 · Larry J. Eshelman · Foundations of genetic algorithms · 1,049

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

An orthogonal genetic algorithm with quantization for global numerical optimization

2001 · Yiu-Wing Leung, Yuping Wang · IEEE Transactions on Evolutionary Computation · 807

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 efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems

2018 · Hossam Faris, Majdi M. Mafarja, et al. · Knowledge-Based Systems · 660

Genetic programming: a paradigm for genetically breeding populations of computer programs to solve problems

1990 · John R. Koza · 603

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

Feature subset selection in large dimensionality domains

2009 · Iffat A. Gheyas, Leslie S. Smith · Pattern Recognition · 597

PDF

Removing the Genetics from the Standard Genetic Algorithm

1995 · Shumeet Baluja, Rich Caruana · Elsevier eBooks · 584

International Proceedings of Economics Development and Research

2012 · Sek, Yong Wee, Che Pee, Ahmad Naim, et al. · International Proceedings of Economics Development and Research · 554

PDF

Genetic Algorithm Based Approach for Autonomous Mobile Robot Path Planning

2018 · Chaymaa Lamini, Said Benhlima, et al. · Procedia Computer Science · 480

PDF

An effective genetic algorithm for the flexible job-shop scheduling problem

2010 · Guohui Zhang, Liang Gao, et al. · Expert Systems with Applications · 475

Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems

2017 · Noor H. Awad, Mostafa Z. Ali, et al. · IEEE Congress on Evolutionary Computation (CEC) · 474

Hybrid Evolutionary Algorithms for Graph Coloring

1999 · Philippe Galinier, Jin-Kao Hao · Journal of Combinatorial Optimization · 474

On the Evolutionary Optimization of Many Conflicting Objectives

2007 · Robin C. Purshouse, Peter J. Fleming · IEEE Transactions on Evolutionary Computation · 452

Fitness landscape analysis and memetic algorithms for the quadratic assignment problem

2000 · B. Freisleben, P. Merz · IEEE Transactions on Evolutionary Computation · 427

A genetic algorithm for hybrid flowshops with sequence dependent setup times and machine eligibility

2005 · Rubén Ruiz, Concepción Maroto · European Journal of Operational Research · 425

A new crossover operator for real coded genetic algorithms

2006 · Kusum Deep, Manoj Thakur · Applied Mathematics and Computation · 419

Articulated Body Motion Capture by Stochastic Search

2004 · Jonathan Deutscher, Ian Reid · International Journal of Computer Vision · 412

Works count: 5,966

Citation count: 98,610