Affiliations: [a]
School of Economics and Management, Southwest Jiaotong University, Chengdu, China
| [b]
Institute of Decision Sciences, School of Economics and Management, Chongqing University of Arts and Sciences, Yongchuan, China
Correspondence:
[*]
Corresponding author. Xiu-Ping Guo, School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China. Tel.: +86 159 2859 2196; E-mail: [email protected].
Abstract: The scheduling problem of cyclic multi-type parts robotic cell with blocking is studied in this paper. For simultaneously optimizing robotic move sequence and part input sequence, an effective chemical reaction optimization (ECRO) is proposed. In ECRO, a new encoding method, robotic activity encoding, is shown for transferring double sequence into single sequence. To construct feasible solution, a novel rule, order insertion (OI) rule, is presented. To obtain initial population more effectively, insertion robotic activity method (IRAM) is firstly addressed. What’s more, for enhancing the efficiency of ECRO, elementary reaction operators are designed according to properties of feasible solutions. From the simulation results, compare to stochastic generated solution method (SGSM), IRAM is outstanding. The performance of ECRO is better than branch and bound (BB) method and beam search (BS) algorithm.
Keywords: Robotic cell, chemical reaction optimization, OI rule, IRAM
