Application of PSO Artificial Bee Colony and Bacterial Foraging Optimization algorithms to economic load dispatch-An analysis
This paper illustrates successful implementation of three
evolutionary algorithms, namely- Particle Swarm Optimization
(PSO), Artificial Bee Colony (ABC) and Bacterial Foraging
Optimization (BFO) algorithms to economic load dispatch
problem (ELD). Power output of each generating unit and
optimum fuel cost obtained using all three algorithms have been
compared. The results obtained show that ABC and BFO
algorithms converge to optimal fuel cost with reduced
computational time when compared to PSO for the two example
problems considered.
Keywords: ABC, PSO, BFO, Economic Load dispatch, Evolutionary Algorithms
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