Evolutionary algorithms with particle swarm movements

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Vladimiro Miranda (Author) FEUP

Conference proceedings International

Title: Proceedings of the 13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

Pages: 6-21

13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

Arlington, VA, 6 November 2005 through 10 November 2005

Indexing

Scopus - 44 Citations

Other information

Authenticus ID: P-007-GWV

DOI: 10.1109/isap.2005.1599236

Abstract (EN): This text introduces a family of Evolutionary Algorithms named EPSO - Evolutionary Particle Swarm Optimization. EPSO algorithms are evolutionary methods that borrow the movement rule from Particle Swarm Optimization methods (PSO) and use it as a recombination operator that evolves under the pressure of selection. This hybrid approach builds up an algorithm that, in several cases, in application to complex problems in Power Systems, has already proven to be more efficient, accurate and robust than classical evolutionary methods or classical PSO. The text presents the description of the method, didactic examples and examples of applications in real world problems. © 2005 ISAP.

Language: English

Type (Professor's evaluation): Scientific