This paper presents a multi-objective optimal power flow technique using particle swarm optimization. Two conflicting objectives, generation cost, and environmental pollution are minimized simultaneously. A multiobjective particle swarm optimization method is used to solve this highly nonlinear and
β¦ LIBER β¦
A constrained global optimization method based on multi-objective particle swarm optimization
β Scribed by Kazuaki Masuda; Kenzo Kurihara
- Publisher
- Wiley (John Wiley & Sons)
- Year
- 2011
- Tongue
- English
- Weight
- 668 KB
- Volume
- 95
- Category
- Article
- ISSN
- 1942-9533
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