Title :
EPSO - best-of-two-worlds meta-heuristic applied to power system problems
Author :
Miranda, Vladimiro ; Fonseca, Nuno
Author_Institution :
INESC, Porto, Portugal
fDate :
6/24/1905 12:00:00 AM
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;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004393
