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IPPS
2008
IEEE
14 years 2 months ago
A genetic programming approach to solve scheduling problems with parallel simulation
—Scheduling and dispatching are two ways of solving production planning problems. In this work, based on preceding works, it is explained how these two approaches can be combined...
Andreas Beham, Stephan M. Winkler, Stefan Wagner 0...
IRREGULAR
1995
Springer
13 years 11 months ago
Parallel Search for Combinatorial Optimization: Genetic Algorithms, Simulated Annealing, Tabu Search and GRASP
In this paper, we review parallel search techniques for approximating the global optimal solution of combinatorial optimization problems. Recent developments on parallel implementa...
Panos M. Pardalos, Leonidas S. Pitsoulis, Thelma D...
ISCAS
2005
IEEE
138views Hardware» more  ISCAS 2005»
14 years 1 months ago
Modeling of MOS transistors based on genetic algorithm and simulated annealing
— A novel method to extract the efficient model for Metal-Oxide-Semiconductor (MOS) transistors in order to satisfy a specific accuracy is presented. The approach presented here ...
Mohammad Taherzadeh-Sani, Ali Abbasian, Behnam Ame...
CEC
2003
IEEE
14 years 28 days ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
BMCBI
2008
128views more  BMCBI 2008»
13 years 7 months ago
HAPSIMU: a genetic simulation platform for population-based association studies
Background: Population structure is an important cause leading to inconsistent results in population-based association studies (PBAS) of human diseases. Various statistical method...
Feng Zhang, Jianfeng Liu, Jie Chen, Hong-Wen Deng