Adaptive quantum genetic algorithm for task sequence planning of complex assembly systems. Issue 14 (1st July 2018)

• Record Type: Journal Article
• Authors: Zhang, Linbin; Lv, Huanpei; Tan, Dapeng; Xu, Fang; Chen, Jiaoliao; Bao, Guanjun; Cai, Shibo
• Is Part Of: Electronics letters. Volume 54:Issue 14(2018)
• Page Start: 870
• Page End: 872
• Publication Date: 2018-07-01
• Subjects: assembling -- genetic algorithms -- planning; optimal TSP scheme -- complex assembly system -- task sequence planning -- adaptive quantum genetic algorithm; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2018.0609
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : Task sequence planning (TSP) is the key factor to the efficiency, stableness, and cost of a complex assembly system. To address the issue, an adaptive quantum genetic algorithm based on artificial potential field and gradient of object function is proposed to optimise the solving process, and to obtain the optimal TSP scheme. The simulation results indicate that the proposed algorithm can perform higher efficiency and stableness than the previously reported methods.