Multiobjective particle swarm optimization for environmental/economic dispatch problem
By Mohammad Ali Abido. 2009
385 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/534c6dd50deefc3633b8edcc0326d78cf3e14fcb
How researchers see this paper
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In Electrical and Electronic Engineering
- Sohail Razzaq
- Guftaar Ahmad Sardar Sidhu
- Gwo-Ching Liao
- Anzar Mahmood
- Adnan Zafar
- Naveed Ahmed Khan
- Ahmed Bilal Awan
- Oliver Sawodny
Citations in the corpus
- Particle Swarm Optimization: Technique, System and Challenges (2011, neutral): “Multi Objective Optima zation [42] [43] [10] [44] [45] [46] [47] [48] [49] [50]”
- Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system – Using chaotic quantum genetic algorithm (2012, background): “There are also some scholars who applied random optimization methods on the economic dispatch problem, such as Simulated Annealing (SA) [8–10], Genetic Algorithm (GA) [11–17], Evolutionary Programming (EP) [18,19], Evolutionary Strategy (ES) [20], Particle Swarm Optimization (PSO) [21–27], Ant Colon”
- Combined emission economic dispatch of power system including solar photo voltaic generation (2015, methodology): “In [23], CEED has been solved using a novel PSO scheme taking into account the generator limits and power balance constraints.”