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    ICANN
    2009
    Springer
    130views Neural Networks» more  ICANN 2009»
    On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
    13 years 11 months ago
    On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study
    Download  muscat.l.chiba-u.ac.jp
    Abstract. Recent cognitive modeling studies suggest the effectiveness of metaheuristic optimization in describing human cognitive behaviors. Such models are built on the basis of p...
    Toshihiko Matsuka, Hidehito Honda, Arieta Chouchou...
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    CEC
    2010
    IEEE
    297views Artificial Intelligence» more  CEC 2010»
    Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
    13 years 4 months ago
    Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data
    Download  repositorio.lneg.pt
    In this work we examined the performance of two evolutionary algorithms, a genetic algorithm (GA) and particle swarm optimization (PSO), in the estimation of the parameters of a mo...
    Dulce Calcada, Agostinho Rosa, Luis C. Duarte, Vit...
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    ICRA
    2009
    IEEE
    106views Robotics» more  ICRA 2009»
    Stochastic strategies for a swarm robotic assembly system
    14 years 1 months ago
    Stochastic strategies for a swarm robotic assembly system
    Download  www.seas.upenn.edu
    — We present a decentralized, scalable approach to assembling a group of heterogeneous parts into different products using a swarm of robots. While the assembly plans are predete...
    Loic Matthey, Spring Berman, Vijay Kumar
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    TWC
    2008
    194views more  TWC 2008»
    Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
    13 years 6 months ago
    Optimal Power Scheduling for Correlated Data Fusion in Wireless Sensor Networks via Constrained PSO
    Download  www.eece.unm.edu
    Optimal power scheduling for distributed detection in a Gaussian sensor network is addressed for both independent and correlated observations. We assume amplify-and-forward local p...
    Thakshila Wimalajeewa, Sudharman K. Jayaweera
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    HEURISTICS
    2008
    120views more  HEURISTICS 2008»
    A local linear embedding module for evolutionary computation optimization
    13 years 6 months ago
    A local linear embedding module for evolutionary computation optimization
    Download  www.per.marine.csiro.au
    A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
    Fabio Boschetti
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