2011•Kongzhi yu jueceRequires access

Scheduling optimization in supply chain based on GA-PSO hybrid algorithm

Lin Jie

Abstract

For scheduling optimization problem in mass customization supply chain,a mathematical programming model is proposed,which is corresponded with a digraph via several definitions in order to use intelligent algorithm to solve it.A hybrid algorithm is proposed to optimize the objective function,which takes both advantages of genetic algorithm and particle swarm algorithm,so this hybrid algorithm integrated global searching ability with high convergence speed.Compared with the results of other algorithms,the simulation results show that the proposed algorithm is an efficient method for solving the scheduling optimization problem.

About this research paper

What this paper is about

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Particle swarm optimization, Mathematical optimization, Computer science, Scheduling (production processes), Hybrid algorithm (constraint satisfaction), Algorithm, Digraph, Convergence (economics)