MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation

MUCPSO: A Modified Chaotic Particle Swarm Optimization with Uniform Initialization for Optimizing Software Effort Estimation

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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...

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Détails bibliographiques
Auteurs principaux: Ardiansyah, Ardiansyah, Ferdiana, Ridi, Permanasari, Adhistya Erna
Format: Article
Langue:English
Publié: MDPI 2022
Sujets:
Electrical and Electronic Engineering not elsewhere classified
Accès en ligne:https://repository.ugm.ac.id/282119/1/Ardiansyah%20et%20al.%20-%202022%20-%20MUCPSO%20A%20modified%20chaotic%20particle%20swarm%20optimiza.pdf

Internet

https://repository.ugm.ac.id/282119/1/Ardiansyah%20et%20al.%20-%202022%20-%20MUCPSO%20A%20modified%20chaotic%20particle%20swarm%20optimiza.pdf

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