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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Veröffentlicht in:	Mathematics (Basel) Jg. 10; H. 5; S. 800
Hauptverfasser:	Syed Shahul Hameed, A., Rajagopalan, Narendran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.03.2022
Schlagworte:	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
Online-Zugang:	Volltext
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