Teaching–learning-based genetic algorithm (TLBGA): an improved solution method for continuous optimization problems
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DOI: 10.1007/s13198-021-01319-0
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References listed on IDEAS
- Bin Wang & Xiaopeng Wei & Jing Dong & Qiang Zhang, 2015. "Improved Lower Bounds of DNA Tags Based on a Modified Genetic Algorithm," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-10, February.
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Cited by:
- Swarupa Pinninti & Srinivasa Rao Sura, 2023. "Renewables based dynamic cost-effective optimal scheduling of distributed generators using teaching–learning-based optimization," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 353-373, March.
- Debasmita Sarkar & Pankaj Kumar Srivastava, 2024. "Recent development and applications of neutrosophic fuzzy optimization approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2042-2066, June.
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Keywords
Teaching learning based optimization (TLBO); Genetic algorithm (GA); Continuous problems; Mutation operator;All these keywords.
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