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EnglishThis paper presents a new hybrid evolutionary algorithm combining Particle Swarm Optimization and Genetic Algorithms, called GSO (Genetical Swarm Optimization). GSO algorithm is essentially a population-based heuristic search technique which can be used to solve combinatorial optimization problems, modeled on the concept of natural selection but also based on cultural and social evolution. Numerical results and comparison of the dillerent techniques are presented for an electromagnetic optimization problem.
http://hdl.handle.net/11583/1921447| Titolo: | Genetical swarm optimization: a new hybrid evolutionary algorithm for electromagnetics |
| Autori: | |
| Data di pubblicazione: | 2004 |
| Abstract: | This paper presents a new hybrid evolutionary algorithm combining Particle Swarm Optimization and Genetic Algorithms, called GSO (Genetical Swarm Optimization). GSO algorithm is essentially a population-based heuristic search technique which can be used to solve combinatorial optimization problems, modeled on the concept of natural selection but also based on cultural and social evolution. Numerical results and comparison of the dillerent techniques are presented for an electromagnetic optimization problem. |
| ISBN: | 0780384415 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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