Based on Plant Growth Simulation Algorithm,we propose an intelligence optimization algorithm for solving job shop scheduling *** with the characteristic of job shop scheduling problem,combining disjunctive graph accor...
详细信息
Based on Plant Growth Simulation Algorithm,we propose an intelligence optimization algorithm for solving job shop scheduling *** with the characteristic of job shop scheduling problem,combining disjunctive graph according to the sequence of scheduling,analyzing Scheduling options that decided by exchangeable set and alternative set,by simulating the process of plant growth,and then we can determine the optimal *** results based on well-known benchmarks and comparisons with standard genetic algorithm demonstrate the effectiveness of the proposed bionic algorithm.
By incorporating hypothesis test into intelligent optimization algorithms, it can not only assure the exploration and exploitation of the search space, but also avoid repeated search to enhance efficiency by taking ad...
详细信息
ISBN:
(纸本)9787810545006
By incorporating hypothesis test into intelligent optimization algorithms, it can not only assure the exploration and exploitation of the search space, but also avoid repeated search to enhance efficiency by taking advantage of the statistical information obtained during evaluation process. Hypothesis test based SA and GA algorithms are reviewed and compared through simulation results on classic stochastic scheduling problems.
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