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» On Benchmarking Stochastic Global Optimization Algorithms
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CDC
2009
IEEE
143views Control Systems» more  CDC 2009»
13 years 11 months ago
Parameter approximate dynamic optimization for PSO systems
— This paper presents a novel swarm approximate dynamic programming method (swarm-ADP) for parameter optimization of PSO systems, from the perspective of optimal control. Based o...
Qi Kang, Lei Wang, Derong Liu, Qidi Wu
PAMI
2007
155views more  PAMI 2007»
13 years 7 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ICTAI
2007
IEEE
14 years 2 months ago
Hypergraph Partitioning for Exploiting Localities in Nonlinear Constrained Optimization
In this paper, we present a new hypergraph partitioning algorithm that jointly optimizes the number of hyperedge cuts and the number of shared vertices in nonlinear constrained op...
Benjamin W. Wah, Soomin Lee
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 8 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
HIS
2001
13 years 9 months ago
Global Optimisation of Neural Networks Using a Deterministic Hybrid Approach
Selection of the topology of a neural network and correct parameters for the learning algorithm is a tedious task for designing an optimal artificial neural...
Gleb Beliakov, Ajith Abraham