Monkey jumping optimization: a tree-branch-inspired metaheuristic for global search

Abstract This paper presents Monkey Jumping Optimization (MJO), a novel nature-inspired metaheuristic algorithm that emulates the arboreal locomotion behavior of monkeys to address complex global optimization problems. The MJO algorithm integrates three biologically inspired mechanisms: energy-aware...

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Hlavní autoři:	Idriss Dagal, Yaya Dagal Dari
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2026-05-01
Edice:	Scientific Reports
Témata:	Monkey jumping optimization Metaheuristic algorithm Global optimization Nature-inspired computing Unmanned aerial vehicle path planning
On-line přístup:	https://doi.org/10.1038/s41598-026-52280-6
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