Abstract
A cluster based multi-objective differential evolution algorithm with non-domination based sorting is used to evaluate the environmental/economic dispatch (EED) problem containing the incommensurable objectives of best economic dispatch with minimum cost and least emission is presented in this paper. The environmental concerns arises due to fossil fuel fired electric generators and global warming that leads to the transformation of the classical single objective economic load dispatch problem into multi-objective environmental/economic dispatch problem. Also, an investigation of cluster based differential evolution algorithm is presented and applied on different test systems.
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CITATION STYLE
Kiran, D., Panigrahi, B. K., & Abhyankar, A. R. (2015). Multi-objective optimization of economic-emission load dispatch using cluster based differential evolution. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8947, pp. 809–820). Springer Verlag. https://doi.org/10.1007/978-3-319-20294-5_69
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