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Flexible job shop scheduling problem is a very important research in the field of combinatorial optimization. An improved ant colony algorithm for multi-objective flexible job shop scheduling problem is presented in this paper. The rule of our algorithm is described from the following aspects: local update, global update, trail intensities, solution set, local search, suitable parameters. The algorithm...
Flexible job shop scheduling problem is a very important research in the field of combinatorial optimization. It is also important for practical production. A method for solving multi-objective flexible job shop scheduling problem based on ant colony algorithm is presented in this paper. Ant colony algorithm is improved from the following aspects in this paper: The number of subsets is defined by...
The key of PID control systematic optimization design is PID parameter optimization. Traditional PID controller parameter adopt experiment to add the way of trying to carry out optimization by man. It is fairly time-consuming, PID controller have no self-adaptive ability, can only rely on artificial optimization parameter. This paper puts forward a kind of algorithm to select the PID parameters based...
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