Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems

Carwyn Pelley; Mauro Innocente; Johann Sienz

Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems

Carwyn Pelley, Mauro Innocente, Johann Sienz

Swansea University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Abstract

The combining of a General-Purpose Particle Swarm Optimizer (GP-PSO) with Sequential Quadratic Programming (SQP) algorithm for constrained optimization problems has been shown to be highly beneficial to the refinement, and in some cases, the success of finding a global optimum solution. It is shown that the likely difference between leading algorithms are in their local search ability. A comparison with other leading optimizers on the tested benchmark suite, indicate the hybrid GP-PSO with implemented local search to compete along side other leading PSO algorithms.

Original language	English
Title of host publication	Proceedings of the 8th ASMO UK Conference on Engineering Design Optimization
Publisher	Association for Structural and Multidisciplinary Optimization in the UK
Pages	268-279
Number of pages	12
ISBN (Print)	978–0–85316–292–6
Publication status	Published - 2010
Externally published	Yes
Event	8th ASMO UK Conference on Engineering Design Optimization - Queen Mary University of London, London, United Kingdom Duration: 8 Jul 2010 → 9 Jul 2010 Conference number: 8 http://www.asmo-uk.com/8th-asmo-uk/html/menu_page.html

Conference

Conference	8th ASMO UK Conference on Engineering Design Optimization
Country/Territory	United Kingdom
City	London
Period	8/07/10 → 9/07/10
Internet address	http://www.asmo-uk.com/8th-asmo-uk/html/menu_page.html

Cite this

Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems. / Pelley, Carwyn; Innocente, Mauro; Sienz, Johann.
Proceedings of the 8th ASMO UK Conference on Engineering Design Optimization. Association for Structural and Multidisciplinary Optimization in the UK, 2010. p. 268-279.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Pelley, C, Innocente, M & Sienz, J 2010, Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems. in Proceedings of the 8th ASMO UK Conference on Engineering Design Optimization. Association for Structural and Multidisciplinary Optimization in the UK, pp. 268-279, 8th ASMO UK Conference on Engineering Design Optimization, London, United Kingdom, 8/07/10.

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Combining Particle Swarm Optimizer with SQP Local Search for Constrained Optimization Problems

Abstract

Conference

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