Multi-Objective Optimization Techniques to Solve the Economic Emission Load Dispatch Problem Using Various Heuristic and Metaheuristic Algorithms

Imagem de Miniatura

Data

2018

Título da Revista

ISSN da Revista

Título de Volume

Editor

IntechOpen

Resumo

The 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.

Descrição

Palavras-chave

Economic Emission Load Dispatch, Optimization Techniques, Heuristic Algorithms, Metaheuristic Algorithms

Citação

RITO 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.

Avaliação

Revisão

Suplementado Por

Referenciado Por