Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4437
Título: Particle swarm design of digital circuits
Autor: Reis, Cecília
Machado, J. A. Tenreiro
Data: 2009
Editora: Springer
Relatório da Série N.º: Intelligent Engineering Systems and Computational Cybernetics; Book Part: V
Resumo: Swarm Intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent functional global patterns to emerge. Particle swarm optimization (PSO) is a form of SI, and a population-based search algorithm that is initialized with a population of random solutions, called particles. These particles are flying through hyperspace and have two essential reasoning capabilities: their memory of their own best position and knowledge of the swarm's best position. In a PSO scheme each particle flies through the search space with a velocity that is adjusted dynamically according with its historical behavior. Therefore, the particles have a tendency to fly towards the best search area along the search process. This work proposes a PSO based algorithm for logic circuit synthesis. The results show the statistical characteristics of this algorithm with respect to number of generations required to achieve the solutions. It is also presented a comparison with other two Evolutionary Algorithms, namely Genetic and Memetic Algorithms.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4437
ISBN: 978-1-4020-8677-9
Versão do Editor: http://link.springer.com/chapter/10.1007%2F978-1-4020-8678-6_28
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