Abstract
The Economic Load Dispatch problem decides the minimum economic cost of production in a given power system, while keeping the environmental constraints and the load demand to an agreed level without compromising the generator ratings. Analysis on this application have been made using Bacteria Foraging Optimization (BFO) algorithm, where the bacterial motion is incorporated as a search algorithm in finding the optimum values for economic generation. An improvisation on this algorithm is the co-operative bacteria foraging optimization using serial decomposition (CBFO-s) and CBFO-hybrid that combines BFO and CBFO-s. Firefly Algorithm (FA) is a multi-modal meta-heuristic algorithm that uses the firefly’s flash as a signal on the flies of opposite sex. The use of FA, guarantees minimized economic costs along with zero deviation from the target load in comparison to BFO and its variants.
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Rathinam, A., Phukan, R. (2012). Solution to Economic Load Dispatch Problem Based on FIREFLY Algorithm and Its Comparison with BFO,CBFO-S and CBFO-Hybrid. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Nanda, P.K. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2012. Lecture Notes in Computer Science, vol 7677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35380-2_8
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DOI: https://doi.org/10.1007/978-3-642-35380-2_8
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