
Industrial, Mechanical and Manufacturing Science – Zheng (Ed.)
© 2015 Taylor & Francis Group, London, ISBN: 978-1-138-02656-8
Adaptive genetic algorithm for mixed-model assembly
line balancing problem
Xiangjun He
School of Security and Environment Engineering of Capital University of Economic and Business, China
Jinpeng Hao
Beijing Foton Cummins Engine Co. Ltd., China
ABSTRACT: An improved genetic algorithm is put forward for the first-class assembly line balancing problem.
The following aspects have been improved in genetic algorithm design: due to the strong constraint situation of
job priority relationship existed in such problems, we design a unique ...