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» Swarm Intelligence: From Natural to Artificial Systems
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GECCO
2006
Springer
210views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptive diversity in PSO
Spatial Extension PSO (SEPSO) and Attractive-Repulsive PSO (ARPSO) are methods for artificial injection of diversity into particle swarm optimizers that are intended to encourage ...
Christopher K. Monson, Kevin D. Seppi
PRICAI
2010
Springer
13 years 6 months ago
Towards Artificial Systems: What Can We Learn from Human Perception?
Research in learning algorithms and sensor hardware has led to rapid advances in artificial systems over the past decade. However, their performance continues to fall short of the ...
Heinrich H. Bülthoff, Lewis L. Chuang
EVOW
2009
Springer
14 years 2 months ago
Discrete Particle Swarm Optimization for Multiple Destination Routing Problems
This paper proposes a discrete particle swarm optimization (DPSO) to solve the multiple destination routing (MDR) problems. The problem has been proven to be NP-complete and the tr...
Zhi-hui Zhan, Jun Zhang
CEC
2005
IEEE
14 years 1 months ago
Dynamic multi-swarm particle swarm optimizer with local search
—In this paper, the performance of dynamic multi-swarm particle swarm optimizer (DMS-PSO) on the set of benchmark functions provided for the CEC2008 Special Session on Large Scal...
Jing J. Liang, Ponnuthurai N. Suganthan
DAGSTUHL
2003
13 years 9 months ago
The Future of Embodied Artificial Intelligence: Machine Consciousness?
The idea that internal models of the world might be useful has generally been rejected by embodied AI for the same reasons that led to its rejection by behaviour based robotics. Th...
Owen Holland