An Improved Nonlinear Tuna Swarm Optimization Algorithm Based on Circle Chaos Map and Levy Flight Operator

An Improved Nonlinear Tuna Swarm Optimization Algorithm Based on Circle Chaos Map and Levy Flight Operator

The tuna swarm optimization algorithm (TSO) is a new heuristic algorithm proposed by observing the foraging behavior of tuna populations. The advantages of TSO are a simple structure and fewer parameters. Although TSO converges faster than some classical meta-heuristics algorithms, it can still be f...

Full description

Bibliographic Details
Main Authors: Wentao Wang, Jun Tian
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
artificial intelligence
circle chaotic map
Levy flight
nonlinear adaptive weight
tuna swarm optimization
Online Access:https://www.mdpi.com/2079-9292/11/22/3678

Similar Items

Similar Items