Abstract
This paper proposes an intelligent start-up schedule optimization system for a thermal power plant. This system consists of a neural network, a genetic algorithm, and an interactive multi-objective programming technique. The features of this system are as follows. (1) The start-up schedule can be optimized based on multi-objective evaluation and (2) an optimal and flexible start-up schedule can be determined with a reasonable computing time and calculation accuracy through interaction between human beings and computers.
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