Partial reinforcement optimizer: An evolutionary optimization algorithm

In this paper, a novel evolutionary optimization algorithm, named Partial Reinforcement Optimizer (PRO), is introduced. 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 the...

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Vydané v:	Expert systems with applications Ročník 238; s. 122070
Hlavní autori:	Taheri, Ahmad, RahimiZadeh, Keyvan, Beheshti, Amin, Baumbach, Jan, Rao, Ravipudi Venkata, Mirjalili, Seyedali, Gandomi, Amir H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.03.2024
Predmet:	ECG Evolutionary computation Federated deep learning Meta-heuristic optimization Partial reinforcement theory ECG Meta-heuristic optimization Evolutionary computation Partial reinforcement theory Federated deep learning
ISSN:	0957-4174
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