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TEC
2010
171views more  TEC 2010»
13 years 3 months ago
A Clustering Particle Swarm Optimizer for Locating and Tracking Multiple Optima in Dynamic Environments
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
Shengxiang Yang, Changhe Li
GLOBECOM
2009
IEEE
13 years 6 months ago
Optimizing Training-Based Transmission for Correlated MIMO Systems with Hybrid Feedback
Abstract--In this paper, we consider multiple-input multipleoutput (MIMO) communication systems with combined channel covariance feedback (CCF) and channel gain feedback (CGF), her...
Xiangyun Zhou, Tharaka A. Lamahewa, Parastoo Sadeg...
EOR
2008
133views more  EOR 2008»
13 years 8 months ago
Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
Chandra Sekhar Pedamallu, Linet Özdamar
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 8 months ago
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien...
Maroun Bercachi, Philippe Collard, Manuel Clergue,...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 9 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi