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Competitive Swarm Optimizer with Mutated Agents for Finding Optimal Designs for Nonlinear Regression Models with Multiple Interacting Factors
This paper proposes a novel enhancement for Competitive Swarm Optimizer (CSO) by mutating loser particles (agents) from the swarm to increase the swarm diversity and improve space exploration capability, namely Competitive Swarm Optimizer with Mutated Agents (CSO-MA). The selection mechanism is carr...
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| Publicado en: | Memet Comput |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7968042/ https://ncbi.nlm.nih.gov/pubmed/33747240 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12293-020-00305-6 |
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