Symbiotic organisms search optimization algorithm for economic/emission dispatch problem in power systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-016-2481-7/fulltext.html
Reference35 articles.
1. Chowdhury BH, Rahman S (1990) A review of recent advances in economic dispatch. IEEE Trans Power Syst 5:248–259
2. Amita M, Vishnu P, Saroj R (2009) Economic dispatch using particle swarm optimization: a review. Renew Sustain Energy Rev 13:2134–2141
3. Fesanghary M, Ardehali MM (2009) A novel meta-heuristic optimization methodology for solving various types of economic dispatch problem. Energy 34:757–766
4. Jiang S, Ji Z, Shen Y (2014) A novel hybrid particle swarm optimization and gravitational search algorithm for solving economic emission load dispatch problems with various practical constraints. Int J Electr Power Energy Syst 55:628–644
5. Bhattacharjee K, Bhattacharya A, nee Dey SH (2014) Solution of economic emission load dispatch problems of power systems by real coded chemical reaction algorithm. Int J Electr Power Energy Syst 59:176–187
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