μ+λ), every individual has the same probability to be selected. It is one of the four major evolutionary algorithm paradigms.
Abido, Mohammad A.; Elazouni, Ashraf (30 November 2021). "Modified multi-objective evolutionary programming algorithm for solving project scheduling problems". Expert Systems with Applications. 183 115338. doi:10.1016/j.eswa.2021.115338. ISSN 0957-4174.
↑ Abraham, Ajith; Nedjah, Nadia; Mourelle, Luiza de Macedo (2006). "Evolutionary Computation: from Genetic Algorithms to Genetic Programming". Genetic Systems Programming: Theory and Experiences. Studies in Computational Intelligence. 13. Springer: 1–20. doi:10.1007/3-540-32498-4_1. ISBN 978-3-540-29849-6.{{cite journal}}: CS1 maint: periodical has ISBN (link)
↑ Iwamatsu, Masao (1 August 2002). "Generalized evolutionary programming with Lévy-type mutation". Computer Physics Communications. 147 (1): 729–732. Bibcode:2002CoPhC.147..729I. doi:10.1016/S0010-4655(02)00386-7. ISSN 0010-4655.
↑ Nan, LI; Xiaomin, BAI; Shouzhen, ZHU; Jinghong, ZHENG (1 January 2014). "Social Evolutionary Programming Algorithm onUnit Commitment in Wind Power Integrated System". IFAC Proceedings Volumes. 47 (3): 3611–3616. doi:10.3182/20140824-6-ZA-1003.00384. ISSN 1474-6670.
↑ Basu, Mousumi (14 September 2017). "Fast Convergence Evolutionary Programming for Multi-area Economic Dispatch". Electric Power Components and Systems. 45 (15): 1629–1637. doi:10.1080/15325008.2017.1376234. ISSN 1532-5008.
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