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Using External Archive for Improved Performance in Multi-Objective Optimization
- Publication Year :
- 2018
-
Abstract
- It is shown that the use of an external archive, purely for storage purposes, can bring substantial benefits in multi-objective optimization. A new scheme for archive management for the above purpose is described. The new scheme is combined with the NSGA-II algorithm for solving two multi-objective optimization problems, and it is demonstrated that this combination gives significantly improved sets of Pareto-optimal solutions. The additional computational effort because of the external archive is found to be insignificant when the objective functions are expensive to evaluate.<br />Comment: 9 pages, 8 figures, submitted to IEEE Transactions on Evolutionary Computation
- Subjects :
- Computer Science - Neural and Evolutionary Computing
Subjects
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.1811.09196
- Document Type :
- Working Paper