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A new approach to unit commitment problem is presented using absolutely stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing minimisation method, a higher cost feasible solution is accepted with temperature-dependent probability; however, other solutions are accepted deterministically. That may lead to the near...
This paper presents a new approach to unit commitment problem using absolute stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing method, a higher cost feasible solution is accepted with temperature dependent probability, but other solutions are accepted deterministically. That may lead to the near optimization...
This paper presents a new approach to fuzzy unit commitment problem using absolutely stochastic simulated annealing method. In every iteration, a solution is taken with a certain probability. Typically in simulated annealing minimization method, a higher cost feasible solution is accepted with temperature dependent probability, but other solutions are accepted deterministically. However in this paper,...
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