|
Title
|
|
|
|
Progressive multi-objective optimization
|
|
|
Author
|
|
|
|
|
|
|
Abstract
|
|
|
|
| This paper introduces progressive multi-objective optimization (PMOO), a novel technique to include the decision maker's preferences into the multi-objective optimization process. PMOO integrates a well-known method for multi-criteria decision making (PROMETHEE) into a simple multi-objective metaheuristic by maintaining and updating a small reference archive of nondominated solutions throughout the search. By applying this novel technique to a set of instances of the multi-objective knapsack problem, the superiority of PMOO over the commonly accepted sequential approach of generating a Pareto set approximation first and selecting a single solution afterwards is demonstrated. |
|
|
|
Language
|
|
|
|
English
|
|
|
Source (journal)
|
|
|
|
International journal of information technology & decision making. - Singapore
|
|
|
Publication
|
|
|
|
Singapore
:
2014
|
|
|
ISSN
|
|
|
|
0219-6220
|
|
|
DOI
|
|
|
|
10.1142/S0219622014500308
|
|
|
Volume/pages
|
|
|
|
13
:5
(2014)
, p. 917-936
|
|
|
ISI
|
|
|
|
000341843900003
|
|
|
Full text (Publisher's DOI)
|
|
|
|
|
|
|
Full text (publisher's version - intranet only)
|
|
|
|
|
|