.png){kind=icon}
.png){kind=icon}
Return
Type II robotic assembly line balancing problem: An evolution strategies algorithm for a multi-objective model
.png){kind=icon}
PRE
AI
DOI：10.1016/j.jmsy.2011.10.002.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper a different type II robotic assembly line balancing problem (RALB-II) is considered. One of the two main differences with the existing literature is objective function which is a multi-objective one. The aim is to minimize the cycle time, robot setup costs and robot costs. The second difference is on the procedure proposed to solve the problem. In addition, a new mixed-integer linear programming model is developed. Since the problem is NP-hard, three versions of multi-objective evolution strategies (MOES) are employed. Numerical results show that the proposed hybrid MOES is more efficient. (C) 2011 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.
Keywords:
Robotic assembly line balancing
Multi-objective evolution strategies
Pareto optimal
Mixed-integer linear programming
Journal
IF:
14.2
Papers:
2.7K
Citations:
1.6W