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» On Benchmarking Stochastic Global Optimization Algorithms
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EOR
2010
116views more  EOR 2010»
14 years 9 months ago
Speeding up continuous GRASP
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
Michael J. Hirsch, Panos M. Pardalos, Mauricio G. ...
CEC
2007
IEEE
15 years 3 months ago
Clonal particle swarm optimization and its applications
— Particle swarm optimization (PSO) is a stochastic global optimization algorithm inspired by social behavior of bird flocking in search for food, which is a simple but powerful...
Y. Tan, Z. M. Xiao
CEC
2010
IEEE
14 years 9 months ago
The differential Ant-Stigmergy Algorithm for large-scale global optimization
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Peter Korosec, Katerina Taskova, Jurij Silc
GECCO
2007
Springer
142views Optimization» more  GECCO 2007»
15 years 3 months ago
Improving global numerical optimization using a search-space reduction algorithm
We have developed an algorithm for reduction of search-space, called Domain Optimization Algorithm (DOA), applied to global optimization. This approach can efficiently eliminate ...
Vinicius Veloso de Melo, Alexandre C. B. Delbem, D...
ICCV
2005
IEEE
15 years 11 months ago
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
Talya Meltzer, Chen Yanover, Yair Weiss