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GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
13 years 9 months ago
Solving large scale combinatorial optimization using PMA-SLS
Memetic algorithms have become to gain increasingly important for solving large scale combinatorial optimization problems. Typically, the extent of the application of local search...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo E...
IPPS
2007
IEEE
13 years 10 months ago
A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
Mohand-Said Mezmaz, Nouredine Melab, El-Ghazali Ta...
CEC
2008
IEEE
13 years 10 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
ISCI
2008
159views more  ISCI 2008»
13 years 4 months ago
Large scale evolutionary optimization using cooperative coevolution
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
Zhenyu Yang, Ke Tang, Xin Yao
EVOW
2007
Springer
13 years 10 months ago
A Hybrid Method for Solving Large-Scale Supply Chain Problems
Abstract. The strategic supply chain design problem which allows capacity shifts and budget limitations can be formulated as a linear program. Since facilities are allowed to be op...
Steffen Wolf, Peter Merz