| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6895887 | European Journal of Operational Research | 2016 | 39 Pages |
Abstract
The problem is formulated as a multi-objective optimization model with simultaneous consideration of makespan and balance of resource efficiency. A cooperative coevolutionary multi-objective algorithm (CCMOA) is designed to produce high-quality solutions. Two chromosome representations and three resource selection policies are tested for the algorithm. The proposed CCMOA is found to be competitive when compared to MOEA/D and NSGA-II, which are two popular algorithms for multi-objective optimization.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Jian Xiong, Roel Leus, Zhenyu Yang, Hussein A. Abbass,