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Fast evolutionary programming techniques for short-term hydrothermal scheduling
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DOI：10.1016/S0378-7796(03)00016-6.png)
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This paper presents fast evolutionary programming (FEP) techniques for solution of short-term hydro thermal scheduling problems. Evolutionary programming (EP) based algorithms with Gaussian mutation and other fast mutation techniques have been developed for hydrothermal scheduling (HS) problems. Numerical results for a test case show that all the EP-algorithms are capable of finding very nearly global solutions within a reasonable time but EP-algorithm with better of Gaussian and Cauchy mutations was the best amongst all EPs in terms of convergence rate, solution time and success rate. (C) 2003 Published by Elsevier Science B.V.
Keyword:
classical evolutionary programming
Gaussian mutation
Cauchy mutation
fast evolutionary programming
hydrothermal scheduling
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4.2
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1.2W
被引数:
2.2W
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