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CLOUDCOM
2010
Springer
14 years 7 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
75
Voted
IPPS
2005
IEEE
15 years 3 months 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 1 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
108
Voted
GECCO
2005
Springer
384views Optimization» more  GECCO 2005»
15 years 3 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, ...
ISSS
2000
IEEE
191views Hardware» more  ISSS 2000»
15 years 1 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