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GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
14 years 19 days ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
TASE
2008
IEEE
13 years 9 months ago
New Hybrid Optimization Algorithms for Machine Scheduling Problems
Dynamic programming, branch-and-bound, and constraint programming are the standard solution principles for nding optimal solutions to machine scheduling problems. We propose a new ...
Yunpeng Pan, Leyuan Shi
IJCSA
2007
110views more  IJCSA 2007»
13 years 9 months ago
Multiprocessor Scheduling Using Hybrid Particle Swarm Optimization with Dynamically Varying Inertia
The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. We have developed a new hybrid approximation algorithm. The...
S. N. Sivanandam, P. Visalakshi, A. Bhuvaneswari
IEEESCC
2008
IEEE
14 years 3 months ago
GSMA based Automated Negotiation Model for Grid Scheduling
In order to co-ordinate multiple resource providers in grid environment to meet a common objective, support for negotiation is needed to establish a contract between the users and...
Ponnuram Balakrishnan, S. Thamarai Selvi, Gnanapra...
CCGRID
2008
IEEE
13 years 11 months ago
Benefits of Job Exchange between Autonomous Sites in Decentralized Computational Grids
This paper examines the job exchange between parallel compute sites in a decentralized Grid scenario. Here, the local scheduling system remains untouched and continues normal oper...
Christian Grimme, Joachim Lepping, Alexander Papas...