CLTSA: A Novel Tunicate Swarm Algorithm Based on Chaotic-Lévy Flight Strategy for Solving Optimization Problems

CLTSA: A Novel Tunicate Swarm Algorithm Based on Chaotic-Lévy Flight Strategy for Solving Optimization Problems

In this paper, we proposed a tunicate swarm algorithm based on Tent-Lévy flight (TLTSA) to avoid converging prematurely or failing to escape from a local optimal solution. First, we combined nine chaotic maps with the Lévy flight strategy to obtain nine different TSAs based on a Chaotic-Lévy flight...

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Bibliographic Details
Main Authors: Yi Cui, Ronghua Shi, Jian Dong
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Mathematics
Subjects:
tunicate swarm algorithm
chaotic mapping
Lévy flight strategy
benchmark test functions
engineering design problems
meta-heuristic
Online Access:https://www.mdpi.com/2227-7390/10/18/3405

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https://www.mdpi.com/2227-7390/10/18/3405

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