Unit Commitment Problem Using Fuzzy Logic Controlled Genetic Algorithm
نویسندگان
چکیده
The fuzzy logic has been applied in combination with Genetic Algorithm (GA) to solve the unit commitment problem (UCP). For smooth and better convergence in GA, the crossover probability and mutation rate are adjusted by fuzzy logic strategy leading to an improved GA technique termed as Fuzzy Logic Controlled Genetic Algorithm (FLCGA). An FLCGA for determining the solution for this UCP has been discussed in this paper. The main aim is the minimization of overall cost of the power generation while satisfying a set of system constraints. This proposed technique provides good results compared, and it will be reasoned in this paper.
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