RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization. Issue 5 (4th May 2017)
- Record Type:
- Journal Article
- Title:
- RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization. Issue 5 (4th May 2017)
- Main Title:
- RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization
- Authors:
- Hernández Mejía, Jesus Alejandro
Schütze, Oliver
Cuate, Oliver
Lara, Adriana
Deb, Kalyanmoy - Abstract:
- ABSTRACT: Reference point based optimization offers tools for the effective treatment of preference based multi-objective optimization problems, e.g. when the decision-maker has a rough idea about the target objective values. For the numerical solution of such problems, specialized evolutionary strategies have become popular, despite their possible slow convergence rates. Hybridizing such evolutionary algorithms with local search techniques have been shown to produce faster and more reliable algorithms. In this article, the directed search (DS) method is adapted to the context of reference point optimization problems, making this variant, called RDS, a well-suited option for integration into evolutionary algorithms. Numerical results on academic test problems with up to five objectives demonstrate the benefit of the novel hybrid ( i.e. the same approximation quality can be obtained more efficiently by the new algorithm), using the state-of-the-art algorithm R-NSGA-II for this coupling. This represents an advantage when treating costly-to-evaluate real-world engineering design problems.
- Is Part Of:
- Engineering optimization. Volume 49:Issue 5(2017)
- Journal:
- Engineering optimization
- Issue:
- Volume 49:Issue 5(2017)
- Issue Display:
- Volume 49, Issue 5 (2017)
- Year:
- 2017
- Volume:
- 49
- Issue:
- 5
- Issue Sort Value:
- 2017-0049-0005-0000
- Page Start:
- 828
- Page End:
- 845
- Publication Date:
- 2017-05-04
- Subjects:
- Multi-objective optimization -- reference point problem -- memetic strategy
Engineering design -- Periodicals
Mathematical optimization -- Periodicals
620.0042 - Journal URLs:
- http://www.tandfonline.com/toc/geno20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/0305215X.2016.1211127 ↗
- Languages:
- English
- ISSNs:
- 0305-215X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3766.145000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 1237.xml