MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation
Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a broad range of applications. The algorithm has certain primary advantages such as its ease of implementation, high convergence accuracy, and fast convergence speed. Nevertheless, since its origin in 1995, Part...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI
2022
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Subjects: | |
Online Access: | https://repository.ugm.ac.id/282119/1/Ardiansyah%20et%20al.%20-%202022%20-%20MUCPSO%20A%20modified%20chaotic%20particle%20swarm%20optimiza.pdf |