CAMPOS, Paola Souto2025-03-032023NASCIMENTO, M. H. R.; LEITE, J. C.; LIMA, A. A.; OLIVEIRA, E. F.; SILVA, I. R. S.; PARENTE, R. S.; RODRÍGUEZ, J. L. M.; SIQUEIRA JUNIOR, P. O. Optimization of Economic and Environmental Dispatch Using Bio-inspired Computer Metaheuristics. In: ZOBAA, A. F.; ABDEL ALEEM, S. H. E. (eds.). Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer, 2023. DOI: 10.1007/978-3-031-18996-8.DOI 10.1007/978-3-031-18996-8_305https://rigalileo.itegam.org.br/handle/123456789/494This chapter addresses the optimization of economic and environmental dispatch in electric power systems using bio-inspired computational metaheuristics. Techniques such as Genetic Algorithms, Particle Swarm Optimization, and Ant Colony-Based Algorithms are analyzed. The study demonstrates how these approaches can reduce operational costs and minimize environmental impacts, ensuring energy efficiency and sustainability.pdf.Otimização ComputacionalDespacho EconômicoSustentabilidade EnergéticaAlgoritmos BioinspiradosInteligência ArtificialCapítulo de LivroEngenharia Elétrica