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GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
14 years 1 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
COR
2010
119views more  COR 2010»
13 years 7 months ago
Algorithms for a realistic variant of flowshop scheduling
This paper deals with a realistic variant of flowshop scheduling, namely the hybrid flexible flowshop. A hybrid flowshop mixes the characteristics of regular flowshops and paralle...
B. Naderi, Rubén Ruiz, M. Zandieh
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
14 years 1 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
AMC
2007
154views more  AMC 2007»
13 years 7 months ago
A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training
The particle swarm optimization algorithm was showed to converge rapidly during the initial stages of a global search, but around global optimum, the search process will become ve...
Jing-Ru Zhang, Jun Zhang, Tat-Ming Lok, Michael R....
IAT
2009
IEEE
14 years 2 months ago
Distributed Constraint Optimization for Large Teams of Mobile Sensing Agents
Abstract. A team of mobile sensors can be used for coverage of targets in different environments. The dynamic nature of such an application requires the team of agents to adjust th...
Roie Zivan, Robin Glinton, Katia P. Sycara