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GECCO
2000
Springer
141views Optimization» more  GECCO 2000»
13 years 8 months ago
A steady-state evolutionary algorithm for the job shop problem
This paper describes an evolutionary search scheduling algorithm (ESSA) for the job shop scheduling problem (JSSP). If no specific knowledge of the problem is included in the EA t...
Patrick van Bael, Dirk Devogelaere, Marcel Rijckae...
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
13 years 8 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
13 years 8 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
13 years 10 months ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo
EPS
1997
Springer
13 years 9 months ago
Investigating Parallel Genetic Algorithms on Job Shop Scheduling Problems
This paper describes a GA for job shop scheduling problems. Using the Giffler and Thompson algorithm, we created two new operators, THX crossover and mutation, which better trans...
Shyh-Chang Lin, Erik D. Goodman, William F. Punch ...