conference paper
Watch thy neighbor or how the swarm can learn from its environment
Rui Mendesa b, James Kennedyc, José Nevesa d
- aDepartamento de lnformática, Universidade do Minho, Portugal
- bDepartamento de Informatica, Minho, Portugal
- cBureau of Labor Statistics, USA
- d[Departamento de lnformática, Universidade do Minho, Portugal]
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Abstract
Particle swarm optimization is a novel algorithm where a population of candidate problem solution vectors evolves "social" norms by being influenced by their topological neighbors. Until now, an individual was influenced by its best performance acquired in the past and the best experience observed in its neighborhood. In this paper, we introduce new ways an individual can be influenced by its neighbors.