Levy tunicate swarm algorithm for solving numerical and real-world optimization problems
The proposed Levy Tunicate Swarm Algorithm (LTSA) is a novel metaheuristic algorithm that integrates the Levy distribution into a new metaheuristic algorithm called Tunicate Swarm Algorithm (TSA) to solve numerical and real-world optimization problems. TSA has been newly designed to mimic the propul...
Main Authors: | J. J., Jui, M. A., Ahmad, M. I. M., Rashid |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
Springer, Singapore
2022
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/34314/1/Levy%20tunicate%20swarm%20algorithm%20for%20solving%20numerical.pdf |
Similar Items
-
Levy slime mould algorithm for solving numerical and engineering optimization problems
by: J. J., Jui, et al.
Published: (2022) -
A New Swarm Intelligence Technique for Solving Economic Dispatch Problem
by: M. H., Sulaiman, et al.
Published: (2013) -
Sequential constructive algorithm incorporate with fuzzy logic for solving real world course timetabling problem
by: Tan, Li June, et al.
Published: (2020) -
CLTSA: A Novel Tunicate Swarm Algorithm Based on Chaotic-Lévy Flight Strategy for Solving Optimization Problems
by: Yi Cui, et al.
Published: (2022-09-01) -
Solving an agricultural robot routing problem with binary particle swarm optimization and a genetic algorithm
by: Mahmud, Mohd. Saiful Azimi, et al.
Published: (2018)