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- W11244540 abstract "In this paper, we present a hybrid optimization approach to solving the economic dispatch (ED) problem. The objective is to minimize the total fuel cost and keep the power flows within the security limits. The idea consists in combining principles from real coded genetic algorithms (RCGAs) (1) and a parallel quasi-Newton method (QN), in order to find a better compromise trade-off and a better precision while requiring a reasonable computing time. The approach that is presented utilizes both local and global optimization algorithms to find good design points more efficiently than either could. A parallel quasi-Newton method is used to explore the space of research and exploit all local information to progress towards a better point. The proposed approach improves the equality of the solution and speed of convergence of the algorithms. The hybrid methods developed is compared with a RCGAs and a classical methods of QN. The proposed approach has been tested on the IEEE 57 bus system (2)." @default.
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- W11244540 date "2008-01-01" @default.
- W11244540 modified "2023-09-27" @default.
- W11244540 title "HYBRID APPROACH TO THE ECONOMIC DISPATCH PROBLEM USING A GENETIC AND A QUASI-NEWTON ALGORITHMS" @default.
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