A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem

By Taher Niknam. 2010

296 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5fe8b29cd5346e7cc3bc97a014229e9a799020fa

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In Electrical and Electronic Engineering

1. Behnam Mohammadi-Ivatloo
2. Jamal Al-Sumait
3. Jan Sykulski
4. A. K. Al-Othman
5. Babak Amiri
6. Abbas Rabiee
7. Mehdi Ehsan
8. Alireza Soroudi

Citations in the corpus

• An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis (2010, methodology): “From experience, it is known that [15]:”
• A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems (2010, methodology): “The GA–PS–SQP algorithm has been executed a hundred times and the results and comparison with other methods from [5,9,13,19] are given in Tables 5 and 6, respectively, while Figs.”
• Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems (2012, methodology): “Also, other modifications of PSO method like parallel PSO [15], quantum-behaved PSO [16], fuzzy adaptive hybrid PSO algorithm [17], fuzzy adaptive modified PSO algorithm [18] and anti-predatory PSO [19] have been applied to solve ED problem.”