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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 7 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
CEC
2007
IEEE
14 years 3 days ago
Modified genetic algorithm for job-shop scheduling: A gap utilization technique
—The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In th...
S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornfor...
FGCS
2006
82views more  FGCS 2006»
13 years 5 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
PDP
2008
IEEE
14 years 4 days ago
Load Balancing Distributed Inverted Files: Query Ranking
Search engines use inverted files as index data structures to speed up the solution of user queries. The index is distributed on a set of processors forming a cluster of computer...
Carlos Gomez-Pantoja, Mauricio Marín
SPAA
2003
ACM
13 years 11 months ago
The load rebalancing problem
In the classical load balancing or multiprocessor scheduling problem, we are given a sequence of jobs of varying sizes and are asked to assign each job to one of the m empty proce...
Gagan Aggarwal, Rajeev Motwani, An Zhu