Evolutionary programming is an evolutionary algorithm, where a share of new population is created by mutation of previous population without crossover.[1][2] Evolutionary programming differs from evolution strategy ES() in one detail.[1] All individuals are selected for the new population, while in ES(), every individual has the same probability to be selected. It is one of the four major evolutionary algorithm paradigms.[3]
History
editIt was first used by Lawrence J. Fogel in the US in 1960 in order to use simulated evolution as a learning process aiming to generate artificial intelligence.[4] It was used to evolve finite-state machines as predictors.[5]
| Year | Description | Reference |
|---|---|---|
| 1966 | EP introduced by Fogel et al. | [6] |
| 1992 | Improved fast EP - Cauchy mutation is used instead of Gaussian mutation | [7] |
| 2002 | Generalized EP - usage of Lévy-type mutation | [8] |
| 2012 | Diversity-guided EP - Mutation step size is guided by diversity | [9] |
| 2013 | Adaptive EP - The number of successful mutations determines the strategy parameter | [10] |
| 2014 | Social EP - Social cognitive model is applied meaning replacing individuals with cognitive agents | [11] |
| 2015 | Immunised EP - Artificial immune system inspired mutation and selection | [12] |
| 2016 | Mixed mutation strategy EP - Gaussian, Cauchy and Lévy mutations are used | [13] |
| 2017 | Fast Convergence EP - An algorithm, which boosts convergence speed and solution quality | [14] |
| 2017 | Immune log-normal EP - log-normal mutation combined with artificial immune system | [15] |
| 2018 | ADM-EP - automatically designed mutation operators | [16] |
See also
editReferences
edit- ^ a b c Slowik, Adam; Kwasnicka, Halina (1 August 2020). "Evolutionary algorithms and their applications to engineering problems". Neural Computing and Applications. 32 (16): 12363–12379. doi:10.1007/s00521-020-04832-8. ISSN 1433-3058.
- ^ 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.
- ^ Brameier, Markus (2004). "On Linear Genetic Programming". Dissertation. Retrieved 27 December 2024.
- ^ "Artificial Intelligence through Simulated Evolution". Evolutionary Computation. 2009. doi:10.1109/9780470544600.ch7. ISBN 978-0-470-54460-0.
- ^ 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.
- ^ Fogel, LJ; Owens, AJ; Walsh, MJ (1966). rtificial intelligence thorough simulated evolution. New York: Wiley.
- ^ Xin Yao; Yong Liu; Guangming Lin (July 1999). "Evolutionary programming made faster". IEEE Transactions on Evolutionary Computation. 3 (2): 82–102. Bibcode:1999ITEC....3...82X. doi:10.1109/4235.771163.
- ^ 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.
- ^ Alam, Mohammad Shafiul; Islam, Md. Monirul; Yao, Xin; Murase, Kazuyuki (1 June 2012). "Diversity Guided Evolutionary Programming: A novel approach for continuous optimization". Applied Soft Computing. 12 (6): 1693–1707. doi:10.1016/j.asoc.2012.02.002. ISSN 1568-4946.
- ^ Das, Swagatam; Mallipeddi, Rammohan; Maity, Dipankar (1 April 2013). "Adaptive evolutionary programming with p-best mutation strategy". Swarm and Evolutionary Computation. 9: 58–68. doi:10.1016/j.swevo.2012.11.002. ISSN 2210-6502.
- ^ 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.
- ^ Gao, Wei (1 August 2015). "Slope stability analysis based on immunised evolutionary programming". Environmental Earth Sciences. 74 (4): 3357–3369. Bibcode:2015EES....74.3357G. doi:10.1007/s12665-015-4372-0. ISSN 1866-6299.
- ^ Pang, Jinwei; Dong, Hongbin; He, Jun; Feng, Qi (July 2016). "Mixed mutation strategy evolutionary programming based on Shapley value". 2016 IEEE Congress on Evolutionary Computation (CEC). pp. 2805–2812. doi:10.1109/CEC.2016.7744143. ISBN 978-1-5090-0623-6.
- ^ 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.
- ^ Mansor, M.H.; Musirin, I.; Othman, M.M. (April 2017). "Immune Log-Normal Evolutionary Programming (ILNEP) for solving economic dispatch problem with prohibited operating zones". 2017 4th International Conference on Industrial Engineering and Applications (ICIEA). pp. 163–167. doi:10.1109/IEA.2017.7939199. ISBN 978-1-5090-6774-9.
- ^ Hong, Libin; Drake, John H.; Woodward, John R.; Özcan, Ender (1 January 2018). "A hyper-heuristic approach to automated generation of mutation operators for evolutionary programming". Applied Soft Computing. 62: 162–175. doi:10.1016/j.asoc.2017.10.002. ISSN 1568-4946.
External links
edit- The Hitch-Hiker's Guide to Evolutionary Computation: What's Evolutionary Programming (EP)?
- Evolutionary Programming by Jason Brownlee (PhD) Archived 2013-01-18 at the Wayback Machine
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