Population-based dynamic scheduling optimisation for complex production process
by Jing An; Qi Kang; Lei Wang; Qidi Wu
International Journal of Computer Applications in Technology (IJCAT), Vol. 43, No. 4, 2012

Abstract: This paper presents a population-based approximate scheduling approach for complex production process, by using heuristic stochastic optimisation strategies. In this approach, particle swarm optimisation (PSO) is adopted to find a near optimal operation sequence and schedule strategy based on the criterion of minimal total make-span (TMS) in its admissible sequence space. Discrete dynamic programming method is integrated for the usage of fitness evaluation. A minifab model is studied to illustrate the proposed population-based scheduling algorithm (PSA), which can approach the optimal results by computing partial solution sequences.

Online publication date: Fri, 01-Jun-2012

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