partial reinforcement optimizer (PRO). Matlab Source Code

版本 1.0.0 (3.7 MB) 作者: Ahmad Taheri

This source code is an implementation of the PRO algorithm to solve CEC2017 benchmark functions.

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更新 2023/11/2

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Partial Reinforcement Optimizer (PRO), is a novel evolutionary optimization algorithm. The major idea behind the PRO comes from a psychological theory in evolutionary learning and training called the partial reinforcement effect (PRE) theory. According to the PRE theory, a learner is intermittently reinforced to learn or strengthen a specific behavior during the learning and training process. The reinforcement patterns significantly impact the response rate and strength of the learner during a reinforcement schedule, achieved by appropriately selecting a reinforcement behavior and the time of applying reinforcement process. In the PRO algorithm, the PRE theory is mathematically modeled to an evolutionary optimization algorithm for solving global optimization problems.

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Taheri, Ahmad, et al. “Partial Reinforcement Optimizer: An Evolutionary Optimization Algorithm.” Expert Systems with Applications, Elsevier BV, Oct. 2023, p. 122070, doi:10.1016/j.eswa.2023.122070.

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MLA	Taheri, Ahmad, et al. “Partial Reinforcement Optimizer: An Evolutionary Optimization Algorithm.” Expert Systems with Applications, Elsevier BV, Oct. 2023, p. 122070, doi:10.1016/j.eswa.2023.122070.
APA	Taheri, A., RahimiZadeh, K., Beheshti, A., Baumbach, J., Rao, R. V., Mirjalili, S., & Gandomi, A. H. (2023). Partial reinforcement optimizer: An evolutionary optimization algorithm. Expert Systems with Applications, 122070. Elsevier BV. Retrieved from https://doi.org/10.1016%2Fj.eswa.2023.122070
BibTeX	@article{Taheri_2023, doi = {10.1016/j.eswa.2023.122070}, url = {https://doi.org/10.1016%2Fj.eswa.2023.122070}, year = 2023, month = {oct}, publisher = {Elsevier {BV}}, pages = {122070}, author = {Ahmad Taheri and Keyvan RahimiZadeh and Amin Beheshti and Jan Baumbach and Ravipudi Venkata Rao and Seyedali Mirjalili and Amir H. Gandomi}, title = {Partial reinforcement optimizer: An evolutionary optimization algorithm}, journal = {Expert Systems with Applications} }

partial reinforcement optimizer (PRO). Matlab Source Code

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