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- W1649089509 abstract "This paper presents an Adaptive Immune Genetic Algorithm (AIGA) solution to solve the Unit Commitment (UC) problem. The unit commitment problem formulation takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as the minimization of the total objective function while satisfying all the associated constraints. Mathematical formulation, illustration and production results for a 10 generator‐scheduling problem are presented. Finally, numerical results of systems are established the effectiveness of purpose technique." @default.
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- W1649089509 date "2008-01-01" @default.
- W1649089509 modified "2023-09-26" @default.
- W1649089509 title "SOLVING THE UNIT COMMITMENT PROBLEM USING AN ADAPTIVE IMMUNE GENETIC ALGORITHM" @default.
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- W1649089509 doi "https://doi.org/10.1063/1.3008677" @default.
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