SPGD: Search Party Gradient Descent Algorithm, a Simple Gradient-Based Parallel Algorithm for Bound-Constrained Optimization

Nature-inspired metaheuristic algorithms remain a strong trend in optimization. Human-inspired optimization algorithms should be more intuitive and relatable. This paper proposes a novel optimization algorithm inspired by a human search party. We hypothesize the behavioral model of a search party se...

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Vydané v:	Mathematics (Basel) Ročník 10; číslo 5; s. 800
Hlavní autori:	Syed Shahul Hameed, A., Rajagopalan, Narendran
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.03.2022
Predmet:	Algorithms Cooperation Food science Foraging behavior Genetic algorithms gradient-based algorithm group dynamics Heuristic methods human-inspired algorithm Machine learning metaheuristics multi-armed bandits Optimization Optimization algorithms Searching
ISSN:	2227-7390, 2227-7390
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