Abstract
Quadratic Approximation Particle Swarm Optimization (qPSO) is a variant of Particle Swarm Optimization (PSO) which hybridize Quadratic Approximation Operator (QA) with PSO. qPSO is already proven to be cost effective and reliable for the test problems of continuous optimization. Economic dispatch (ED) problem is one of the fundamental issues in power system operations. The problem of economic dispatch turns out to be a continuous optimization problem which is solved using original PSO and its variant qPSO in expectation of better results. Results are also compared with the earlier published results.
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Bansal, J.C., Deep, K. (2010). Quadratic Approximation PSO for Economic Dispatch Problems with Valve-Point Effects. In: Panigrahi, B.K., Das, S., Suganthan, P.N., Dash, S.S. (eds) Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science, vol 6466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17563-3_55
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DOI: https://doi.org/10.1007/978-3-642-17563-3_55
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