Crisscross Moss Growth Optimization: An Enhanced Bio-Inspired Algorithm for Global Production and Optimization

Crisscross Moss Growth Optimization: An Enhanced Bio-Inspired Algorithm for Global Production and Optimization

Global optimization problems, prevalent across scientific and engineering disciplines, necessitate efficient algorithms for navigating complex, high-dimensional search spaces. Drawing inspiration from the resilient and adaptive growth strategies of moss colonies, the moss growth optimization (MGO) a...

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Bibliographic Details
Main Authors:	Tong Yue, Tao Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Biomimetics
Subjects:	moss growth optimization global optimization reservoir production optimization crisscross metaheuristic bionic algorithm
Online Access:	https://www.mdpi.com/2313-7673/10/1/32
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