Title :
Blended Biogeography Based Optimization for different economic load dispatch problem
Author :
Kanoongo, S. ; Jain, Paril
Author_Institution :
Malviya Nat. Inst. of Technol. Jaipur, Jaipur, India
fDate :
April 29 2012-May 2 2012
Abstract :
Blended Biogeography Based Optimization (B-BBO) is an extension to the Biogeography Based Optimization (BBO) technique. Here the blending operator is used in the migration operation of BBO, inspired by the blended crossover operator in Genetic Algorithm (GA). In this paper, the B-BBO technique is applied on economic load dispatch (ELD) problems. Two sample systems are taken with quadratic and valve point cost functions respectively to analyze the effect of blending for the solution of this problem using BBO. Our analysis concludes that computational time decreases effectively with the blending but objective function value increases. B-BBO is suitable to the cases where huge computational burden is a big problem.
Keywords :
blending; genetic algorithms; load dispatching; power generation economics; B-BBO technique; ELD problems; GA; blended biogeography-based optimization; blended crossover operator; computational time; economic load dispatch problems; genetic algorithm; objective function; two sample systems; valve point cost functions; Artificial neural networks; Biogeography; Economics; Generators; Genetic algorithms; Linear programming; Optimization; Blended biogeography based optimization; blended migration; economic load dispatch; emigration; immigration;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6334983