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» GSA: scheduling and allocation using genetic algorithm
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GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 3 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
CORR
2008
Springer
112views Education» more  CORR 2008»
14 years 12 months ago
Investigating Artificial Immune Systems For Job Shop Rescheduling In Changing Environments
Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Go...
Uwe Aickelin, Edmund K. Burke, Aniza Mohamed Din
GECCO
1999
Springer
15 years 4 months ago
Infrastructure Work Order Planning Using Genetic Algorithms
Infrastructure management offices plan and complete several thousand small construction projects annually. Effective planning is vital if the public and private sectors are to mai...
E. William East
104
Voted
CEC
2003
IEEE
15 years 5 months 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...
GECCO
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 3 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin