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On benchmarking functions for genetic algorithms
Abstract
This paper presents experimental results on the major benchmarking functions used for performance evaluation of Genetic Algorithms (GAs). Parameters considered include the effect of population size, crossover probability, mutation rate and pseudorandom generator. The general computational behavior of two basic GAs models, the Generational Replacement Model (GRM) and the Steady State Replacement Model (SSRM) is evaluated.
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Citations
Cited by
Mirjalili, S. (2016) · Neural Computing and Applications · doi:10.1007/s00521-015-1920-1 · Cited by 2,765
Particle Swarm Optimization: A Comprehensive Survey
Shami, T. M., El-Saleh, A. A., Alswaitti, M., Al-Tashi, Q., Summakieh, M. A., & Mirjalili, S. (2022) · IEEE Access · doi:10.1109/access.2022.3142859 · Cited by 1,584
Chemical-Reaction-Inspired Metaheuristic for Optimization
Lam, A. Y. S., & Li, V. O. K. (2010) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2009.2033580 · Cited by 587
Chaotic whale optimization algorithm
Kaur, G., & Arora, S. (2018) · Journal of Computational Design and Engineering · doi:10.1016/j.jcde.2017.12.006 · Cited by 533
Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
Oyelade, O. N., Ezugwu, A. E.-S., Mohamed, T. I. A., & Abualigah, L. (2022) · IEEE Access · doi:10.1109/access.2022.3147821 · Cited by 445
Metadata
- Authors
- Digalakis, J. G., & Margaritis, K. G.
- Venue
- International Journal of Computer Mathematics
- Publisher
- Informa UK Limited
- Published
- 2001-01
- Volume
- 77
- Issue
- 4
- Pages
- 481-506
- ISSN
- 0020-7160 (ISSN-L)
- 1029-0265
- OpenAlex
- W2065401134
- Cited by
- 420
- References
- 0
- FWCI
- 0.38
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
