Stochastic Algorithms Assessment Using Performance Profiles

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

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

Conference proceedings International

Title: GECCO-2011: PROCEEDINGS OF THE 13TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE

Pages: 933-940

13th Annual Genetic and Evolutionary Computation Conference (GECCO)

Dublin, IRELAND, JUL 12-16, 2011

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 5 Citations

Other information

Authenticus ID: P-006-4XK

DOI: 10.1145/2001576.2001704

Abstract (EN): Optimization with stochastic algorithms has become a relevant approach, specially, in problems with complex search spaces. Due to the stochastic nature of these algorithms, the assessment and comparison is not straightforward. Several performance measures have been proposed to overcome this difficulty. In this work, the use of performance profiles and an analysis integrating a trade-off between accuracy and precision are carried out for the comparison of two stochastic algorithms. Traditionally, performance profiles are used to compare deterministic algorithms. This methodology is applied in the comparison of two stochastic algorithms - genetic algorithms and simulated annealing. The results highlight the advantages and drawbacks of the proposed assessment. Track Name: Genetic Algorithms

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8