On Job-Shop Scheduling by Improved Quantum Genetic Algorithm
Bring forward improvement quantum genetic algorithm (IQGA) and apply to the problem resolving the controller of workshop on the basis the main body of a book is described in being in progress to workshop school assignment controller problem and their method managing, the quantum genetic algorithm improving, carries out code to come to choose a chromosome the algorithm applying routing selecting algorithm, use optimum individual to come to renew the quantum rotation gate, the optimum solution, course are simulated, proven effective by much better convergence of algorithm to the overall situation.
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