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» A Mean-Variance Optimization algorithm
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DEXAW
2008
IEEE
204views Database» more  DEXAW 2008»
16 years 2 months ago
Particle Swarm Optimization Using Adaptive Mutation
Two new variants of Particle Swarm Optimization (PSO) called AMPSO1 and AMPSO2 are proposed for global optimization problems. Both the algorithms use adaptive mutation using Beta ...
Millie Pant, Radha Thangaraj, Ajith Abraham
MICAI
2007
Springer
16 years 1 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...
ESCIENCE
2006
IEEE
16 years 1 months ago
Niching for Population-Based Ant Colony Optimization
Most Ant Colony Optimization (ACO) algorithms are able to find a single (or few) optimal, or near-optimal, solutions to difficult (NP-hard) problems. An issue though is that a s...
Daniel Angus
ATS
2003
IEEE
93views Hardware» more  ATS 2003»
16 years 27 days ago
Optimal System-on-Chip Test Scheduling
1 In this paper, we show that the scheduling of tests on the test access mechanism (TAM) is equivalent to independent job scheduling on identical machines and we make use of an exi...
Erik Larsson, Hideo Fujiwara
WSC
2000
15 years 9 months ago
A framework for Response Surface Methodology for simulation optimization
We develop a framework for automated optimization of stochastic simulation models using Response Surface Methodology. The framework is especially intended for simulation models wh...
H. Gonda Neddermeijer, Gerrit J. van Oortmarssen, ...