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 |