Genetic algorithm

Lecture Notes in Computer Science 1205

(1999) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir.1999.04926fae.001 · Cited by 39,228 · see citing works

Genetic Algorithms

Holland, J. H. (1992) · Scientific American · doi:10.1038/scientificamerican0792-66 · Cited by 5,764 · see citing works

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems

Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M. (2017) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2017.07.002 · Cited by 5,096 · see citing works

Genetic Algorithms and Machine Learning

Goldberg, D. E., & Holland, J. H. (1988) · Machine Learning · doi:10.1023/a:1022602019183 · Cited by 3,193 · see citing works

Adaptive probabilities of crossover and mutation in genetic algorithms

Srinivas, M., & Patnaik, L. M. (1994) · IEEE Transactions on Systems Man and Cybernetics · doi:10.1109/21.286385 · Cited by 2,527 · see citing works

A Comparative Analysis of Selection Schemes Used in Genetic Algorithms

Goldberg, D. E., & Deb, K. (1991) · Foundations of genetic algorithms · doi:10.1016/b978-0-08-050684-5.50008-2 · Cited by 2,456 · see citing works

Genetic algorithms: a survey

Srinivas, M., & Patnaik, L. M. (1994) · Computer · doi:10.1109/2.294849 · Cited by 2,199 · see citing works

Foundations of genetic algorithms. 2

Booker, L. B. (1994) · Biosystems · doi:10.1016/0303-2647(94)90009-4 · Cited by 1,020 · see citing works

Genetic Algorithms, Tournament Selection, and the Effects of Noise.

Miller, B. L., & Goldberg, D. E. (1995) · Cited by 969 · see citing works

Genetic Algorithms for the Traveling Salesman Problem

Grefenstette, J. J., Gopal, R., Rosmaita, B. J., et al. (1985) · international conference on Genetic algorithms · Cited by 731 · see citing works

A Study of Reproduction in Generational and Steady-State Genetic Algorithms

Syswerda, G. (1991) · Foundations of genetic algorithms · doi:10.1016/b978-0-08-050684-5.50009-4 · Cited by 655 · see citing works

Evolutionary Computation 1

(2018) · CRC Press eBooks · doi:10.1201/9781482268713 · Cited by 636 · see citing works

A Comparison of Selection Schemes Used in Evolutionary Algorithms

Blickle, T., & Thiele, L. (1996) · Evolutionary Computation · doi:10.1162/evco.1996.4.4.361 · Cited by 601 · see citing works

Fuzzy rule selection by multi-objective genetic local search algorithms and rule evaluation measures in data mining

Ishibuchi, H., & Yamamoto, T. (2003) · Fuzzy Sets and Systems · doi:10.1016/s0165-0114(03)00114-3 · Cited by 435 · see citing works

A Survey on the Parallel Genetic Algorithms

Nang, J., & Matsuo, K. (1994) · Jidō seigyo/Jido seigyo · Cited by 402 · see citing works

A new mutation operator for real coded genetic algorithms

Deep, K., & Thakur, M. (2007) · Applied Mathematics and Computation · doi:10.1016/j.amc.2007.03.046 · Cited by 391 · see citing works

Multi-parent recombination with simplex crossover in real coded genetic algorithms

Tsutsui, S., Yamamura, M., & Higuchi, T. (1999) · Tokyo Tech Research Repository (Tokyo Institute of Technology) · Cited by 319 · see citing works

How Genetic Algorithms Work: A Critical Look at Implicit Parallelism

Greffenstette, J. J., & Baker, J. E. (1989) · international conference on Genetic algorithms · Cited by 295 · see citing works

Elitism-based compact genetic algorithms

Ahn, C. W., & Ramakrishna, R. S. (2003) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2003.814633 · Cited by 294 · see citing works

A Note on Boltzmann Tournament Selection for Genetic Algorithms and Population-Oriented Simulated Annealing.

Goldberg, D. E. (1990) · Complex Systems · Cited by 205 · see citing works

Gaussian mutation and self-adaption for numeric genetic algorithms

Hinterding, R. (2002) · IEEE International Conference on Evolutionary Computation (ICEC) · doi:10.1109/icec.1995.489178 · Cited by 176 · see citing works

Designer Genetic Algorithms: Genetic Algorithms in Structure Design.

Louis, S. J., & Rawlins, G. J. E. (1991) · Cited by 118 · see citing works

Fitness uniform selection to preserve genetic diversity

Hütter, M. (2003) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2002.1007025 · Cited by 112 · see citing works

Blending Roulette Wheel Selection & Rank Selection in Genetic Algorithms

Kumar, R., & Jyotishree (2012) · International Journal of Machine Learning and Computing · doi:10.7763/ijmlc.2012.v2.146 · Cited by 93 · see citing works

Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator

Semenkin, E. S., & Semenkina, M. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-30976-2_50 · Cited by 92 · see citing works

Forking Genetic Algorithm with Blocking and Shrinking Modes (fGA)

Tsutsui, S., & Fujimoto, Y. (1993) · international conference on Genetic algorithms · Cited by 85 · see citing works

An Extension To the Theory of Convergence and a Proof of the Time Complexity of Genetic Algorithms

Ankenbrandt, C. A. (1991) · Foundations of genetic algorithms · doi:10.1016/b978-0-08-050684-5.50007-0 · Cited by 56 · see citing works

A theoretical analysis of the non-uniform mutation operator for the modified genetic algorithm

Neubauer, A. (2002) · IEEE International Conference on Evolutionary Computation (ICEC) · doi:10.1109/icec.1997.592275 · Cited by 43 · see citing works

An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem

Hu, X., & Paolo, E. A. D. (2007) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2007.4424454 · Cited by 33 · see citing works

SUPERGRAN: a connectionist approach to learning, integrating genetic algorithms and graph induction

Oosthuizen, D. G. (1987) · international conference on Genetic algorithms · Cited by 5 · see citing works

Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting

Dobrojevic, M., Jovanovic, L., Babic, L., Cajic, M., Zivkovic, T., Zivkovic, M., Muthusamy, S., Antonijevic, M., & Bacanin, N. (2024) · Computers, Materials & Continua · doi:10.32604/cmc.2024.054459 · Cited by 75 · see citing works

Optimization of electric vehicles charging station deployment by means of evolutionary algorithms

Niccolai, A., Bettini, L., & Zich, R. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22515 · Cited by 46 · see citing works

Choosing Mutation and Crossover Ratios for Genetic Algorithms—A Review with a New Dynamic Approach

Hassanat, A. B. A., Almohammadi, K., Alkafaween, E., Abunawas, E., Hammouri, A., & Prasath, V. B. S. (2019) · Information · doi:10.3390/info10120390 · Cited by 673 · see citing works

A study of genetic crossover operations on the facilities layout problem

Chan, K. C., & Tansri, H. (1994) · Computers & Industrial Engineering · doi:10.1016/0360-8352(94)90049-3 · Cited by 70 · see citing works

Adapting Crossover and Mutation Rates in Genetic Algorithms

Lin, W.-Y., Lee, W.-Y., & Hong, T. (2003) · Cited by 138 · see citing works

On Improvement of Effectiveness in Automatic University Timetabling Arrangement with Applied Genetic Algorithm

Khonggamnerd, P., & Innet, S. (2009) · International Conference on Computer Sciences and Convergence Information Technology · doi:10.1109/iccit.2009.202 · Cited by 28 · see citing works

Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process

Hong, T., Wang, H.-S., Lin, W.-Y., et al. (2002) · Applied Intelligence · doi:10.1023/a:1012815625611 · Cited by 104 · see citing works