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An Enhanced Dwarf Mongoose Optimization Algorithm for Solving Engineering Problems

This paper proposes a new Enhanced Dwarf Mongoose Optimization Algorithm (EDMOA) with an alpha-directed Learning Strategy (LS) for dealing with different mathematical benchmarking functions and engineering challenges. The DMOA’s core concept is inspired by the dwarf mongoose’s foraging behavior. The...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Ghareeb Moustafa, Ali M. El-Rifaie, Idris H. Smaili, Ahmed Ginidi, Abdullah M. Shaheen, Ahmed F. Youssef, Mohamed A. Tolba
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2023-07-01
Schriftenreihe:Mathematics
Schlagworte:
Dwarf Mongoose Optimization
alpha-directed Learning Strategy
benchmark functions
CEC 2017
heat and electrical power dispatch problem
Online-Zugang:https://www.mdpi.com/2227-7390/11/15/3297
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