A comparative study of Modified Particle Swarm Optimization, Differential Evolution and Artificial Bees Colony optimization in synthesis of circular array

Author(s):  
Banani Basu ◽  
G. K. Mahanti
2009 ◽  
Vol 12 ◽  
pp. 87-97 ◽  
Author(s):  
Narendra Pathak ◽  
Gautam Kumar Mahanti ◽  
Shashank K. Singh ◽  
Jitendra Kumar Mishra ◽  
Ajay Chakraborty

Author(s):  
Jagat Kishore Pattanaik ◽  
Mousumi Basu ◽  
Deba Prasad Dash

AbstractThis paper presents a comparative study for five artificial intelligent (AI) techniques to the dynamic economic dispatch problem: differential evolution, particle swarm optimization, evolutionary programming, genetic algorithm, and simulated annealing. Here, the optimal hourly generation schedule is determined. Dynamic economic dispatch determines the optimal scheduling of online generator outputs with predicted load demands over a certain period of time taking into consideration the ramp rate limits of the generators. The AI techniques for dynamic economic dispatch are evaluated against a ten-unit system with nonsmooth fuel cost function as a common testbed and the results are compared against each other.


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