LEITE, Jandecy Cabral2024-09-042024-09-042018RITO JÚNIOR, Jorge de Almeida et al. Multi-Objective Optimization Techniques to Solve the Economic Emission Load Dispatch Problem Using Various Heuristic and Metaheuristic Algorithms. In: AISSAOUI, Abdel Ghani; TAHOUR, Ahmed; COLAK, Ilhami (Ed.). Optimization and Control of Electrical Machines. London: IntechOpen, 2018. Cap. 2, p. 12-29.10.5772/intechopen.76666https://rigalileo.itegam.org.br/handle/123456789/168The chapter addresses the economic emission load dispatch problem, focusing on minimizing emission levels and total generation cost in thermal power plants. Various multi-objective optimization techniques, including heuristic and metaheuristic algorithms such as Simulated Annealing, Ant Lion, Dragonfly, NSGA II, and Differential Evolution, are analyzed. The chapter also compares the effectiveness of these approaches through a case study applied to a thermal generation plant.pdf.Economic Emission Load DispatchOptimization TechniquesHeuristic AlgorithmsMetaheuristic AlgorithmsCapítulo de livro3.04.00.00-7 Engenharia Elétrica