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CLOUDCOM
2010
Springer
15 years 4 months ago
Scaling Populations of a Genetic Algorithm for Job Shop Scheduling Problems Using MapReduce
Inspired by Darwinian evolution, a genetic algorithm (GA) approach is one of the popular heuristic methods for solving hard problems, such as the Job Shop Scheduling Problem (JSSP...
Di-Wei Huang, Jimmy Lin
IPPS
2005
IEEE
16 years 1 days ago
Security-Driven Heuristics and A Fast Genetic Algorithm for Trusted Grid Job Scheduling
In this paper, our contributions are two-fold: First, we enhance the Min-Min and Sufferage heuristics under three risk modes driven by security concerns. Second, we propose a new ...
Shanshan Song, Yu-Kwong Kwok, Kai Hwang
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 10 months ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian
GECCO
2005
Springer
384views Optimization» more  GECCO 2005»
15 years 12 months ago
A case study of process facility optimization using discrete event simulation and genetic algorithm
Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper pr...
Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, ...
202
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ISSS
2000
IEEE
191views Hardware» more  ISSS 2000»
15 years 10 months ago
Conditional Scheduling for Embedded Systems using Genetic List Scheduling
One important part of a HW/SW codesign system is the scheduler which is needed in order to determine if a given HW/SW partitioning is suitable for a given application. In this pap...
Martin Grajcar