Heap-based optimizer inspired by corporate rank hierarchy for global optimization

•Heap-based optimizer (HBO) inspired by corporate rank hierarchy (CRH) is proposed.•HBO utilizes heap to map the hierarchy and model equations for 3 CRH activities.•A parameter (γ) to escape local optima without lacking exploitation is introduced.•Exploration and exploitation are balanced through se...

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Vydané v:	Expert systems with applications Ročník 161; s. 113702
Hlavní autori:	Askari, Qamar, Saeed, Mehreen, Younas, Irfan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 15.12.2020 Elsevier BV
Predmet:	Algorithms Benchmarks Corporate hierarchy based optimization Corporate structure Data structures Global optimization Global optimization algorithm Mechanical engineering Nature-inspired meta-heuristic Optimization Rank tests Social optimization algorithm Source code Nature-inspired meta-heuristic Social optimization algorithm Corporate hierarchy based optimization Global optimization algorithm
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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