DocumentCode
1633975
Title
EPSO - best-of-two-worlds meta-heuristic applied to power system problems
Author
Miranda, Vladimiro ; Fonseca, Nuno
Author_Institution
INESC, Porto, Portugal
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1080
Lastpage
1085
Abstract
This paper presents a new meta-heuristic (EPSO) built putting together the best features of evolution strategies (ES) and particle swarm optimization (PSO). Examples of the superiority of EPSO over classical PSO are reported. The paper also describes the application of EPSO to real world problems, including an application in opto-electronics and another in power systems
Keywords
artificial life; evolutionary computation; heuristic programming; power engineering computing; EPSO; best-of-two-worlds meta-heuristic; evolution strategies; evolutionary programming; opto-electronics; particle swarm optimization; power system problems; Acceleration; Biological cells; Genetic algorithms; Genetic mutations; Genetic programming; Heuristic algorithms; Inductors; Particle swarm optimization; Power systems; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7282-4
Type
conf
DOI
10.1109/CEC.2002.1004393
Filename
1004393
Link To Document