liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Pareto optimization using the struggle genetic crowding algorithm
Linköping University, Department of Mechanical Engineering. Linköping University, The Institute of Technology.
Department of Mechanical Engineering, Massachusetts Inst. of Technology, Cambridge, MA 02139, United States.
2002 (English)In: Engineering optimization (Print), ISSN 0305-215X, Vol. 34, no 6, 623-643 p.Article in journal (Refereed) Published
Abstract [en]

Many real-world engineering design problems involve the simultaneous optimization of several conflicting objectives. In this paper, a method combining the straggle genetic crowding algorithm with Pareto-based population ranking is proposed to elicit trade-off frontiers. The new method has been tested on a variety of published problems, reliably locating both discontinuous Pareto frontiers as well as multiple Pareto frontiers in multi-modal search spaces. Other published multi-objective genetic algorithms are less robust in locating both global and local Pareto frontiers in a single optimization. For example, in a multi-modal test problem a previously published non-dominated sorting GA (NSGA) located the global Pareto frontier in 41% of the optimizations, while the proposed method located both global and local frontiers in all test runs. Additionally, the algorithm requires little problem specific tuning of parameters.

Place, publisher, year, edition, pages
2002. Vol. 34, no 6, 623-643 p.
Keyword [en]
Genetic algorithms, Multi-objective optimization, Pareto optimization
National Category
Natural Sciences
URN: urn:nbn:se:liu:diva-46816DOI: 10.1080/03052150215721OAI: diva2:267712
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2012-01-07

Open Access in DiVA

No full text

Other links

Publisher's full text
By organisation
Department of Mechanical EngineeringThe Institute of Technology
In the same journal
Engineering optimization (Print)
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 36 hits
ReferencesLink to record
Permanent link

Direct link