Hefei University of Technology

Shaojun Lu

Jun Pei

Xinbao Liu

Min Kong

Qiang Zhang

Wenjuan Fan

Xiaofei Qian

Zhiping Zhou

A method and a system for scheduling parallel machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm are provided to solve collaborative production and processing of jobs on a plurality of unrelated batch processing machines. The jobs are distributed to machines based on the normal processing time and deterioration situation of the jobs on different machines and are arranged. An effective multi-machine heuristic rule is designed according to the structural properties of an optimal solution for the single-machine problem, and the improved rule is applied to the improved shuffled frog leaping algorithm to solve this problem. The improvement strategy for the traditional shuffled frog leaping algorithm is to improve the local search procedure of the traditional frog leaping algorithm by introducing the variable neighborhood search algorithm. The convergence rate and optimization capacity of the original algorithm are thus improved.

Method and system for scheduling parallel processing machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm

The present invention discloses a scheduling method and system based on a hybrid variable neighborhood search and gravitational search algorithm. The method includes: 1 setting parameters of the algorithm; 2 initializing an initial solution of the algorithm; 3 performing local search based on a gravitational search algorithm (GSA); 4 updating the initial solution; 5 determining whether an algorithm termination condition is satisfied; if yes, outputting the global optimal solution searched for by the algorithm, otherwise, returning to the step 3. According to the present invention, a near-optimal solution for the continuous batch processing problem based on position learning effect and linear starting time can be obtained, so that an enterprise can make full use of production resources thereof to the utmost extent, and thus reduce production costs and improve the enterprise service level and the customer satisfaction level.

Scheduling method and system based on hybrid variable neighborhood search and gravitational search algorithm

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Anhui, China

Shaojun Lu