Lemurs Optimizer: A New Metaheuristic Algorithm for Global Optimization

Lemurs Optimizer: A New Metaheuristic Algorithm for Global Optimization

The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper. This algorithm’s primary inspirations are based on two pillars of lemur behavior: leap up and dance hub. These two principles are mathematically modeled in the optimization context to handle local search, exploit...

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Bibliographic Details
Main Authors: Ammar Kamal Abasi, Sharif Naser Makhadmeh, Mohammed Azmi Al-Betar, Osama Ahmad Alomari, Mohammed A. Awadallah, Zaid Abdi Alkareem Alyasseri, Iyad Abu Doush, Ashraf Elnagar, Eman H. Alkhammash, Myriam Hadjouni
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
swarm intelligence
metaheuristic
optimization
stochastic optimization
benchmark
LO
Online Access:https://www.mdpi.com/2076-3417/12/19/10057

Internet

https://www.mdpi.com/2076-3417/12/19/10057

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