Economic emission load dispatch through fuzzy based bacterial foraging algorithm

By Prakash Kumar Hota, Ajit Kumar Barisal, R. Chakrabarti. 2010

263 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/fa424108ef5ea8e729b0ee2f635c00ab857a7960

How researchers see this paper

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In Electrical and Electronic Engineering

1. Tandra DebRoy Pal
2. Moumita Pradhan
3. Ahmet Cosar
4. Tansel Dökeroğlu
5. Tayfun Kucukyilmaz
6. Provas Kumar Roy
7. Ender Sevinç

Citations in the corpus

• Grey wolf optimization applied to economic load dispatch problems (2016, background): “hybrid GA (HGA)[18], particle swarm optimization (PSO) [19], anti predatory PSO (APSO) [20], civilized swarm optimization (CSO) [21], modified PSO (MPSO) [22], craziness based PSO (CRPSO) [23], hybrid PSO (HPSO) [24], ant colony optimization (ACO) [25,26], bacteria foraging optimization (BFO) [27], ”
• A survey on new generation metaheuristic algorithms (2019, methodology): “Hota et al. (2010) present a BFO algorithm applied for the solution of the economic and emission load dispatch problem. The BFA is observed to perform in a robust manner in this study. Tang et al. (2006) develop a BFO algorithm for the optimization of dynamic environments.”