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...
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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.
An improved firefly algorithm is proposed for solving the job shop scheduling *** with the characteristic of job shop scheduling problem, combining disjunctive graph according to the sequence of scheduling, analyzing ...
详细信息
An improved firefly algorithm is proposed for solving the 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, and then we can determine the optimal scheduling. Simulation results based on well-known benchmarks and comparisons with standard genetic algorithm demonstrate the effectiveness of the proposed bionic algorithm.
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