An adaptive constraint handling technique for evolutionary algorithms

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Costa, L (Author) Other; Santo, IE (Author) Other; oliveira, p (Author) ICBAS

Journal

Title: Optimization

Vol. 62

Pages: 241-253

ISSN: 0233-1934

Publisher: Taylor & Francis

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 9 Citations

Other information

Authenticus ID: P-002-0Q8

DOI: 10.1080/02331934.2011.590486

Abstract (EN): In global optimization with evolutionary algorithms constraint handling presents major difficulties, especially in the case of equality constraints. Several techniques have been proposed to overcome this difficulty. In this work an adaptive constraint handling technique is studied on a set of test problems with two evolutionary algorithms. The results indicate that the proposed adaptive technique produces results with better quality in terms of objective function values and constraint violations. The comparison was assessed by performance profiles based on a new metric that considers information both on objective function value and constraints violation.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 13