Introduction to algorithms
Computers and Operations Research
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms and neighborhood search algorithms for fuzzy flowshop scheduling problems
Fuzzy Sets and Systems - Special issue on operations research
A genetic algorithm for flowshop sequencing
Computers and Operations Research - Special issue on genetic algorithms
Genetic algorithms for flowshop scheduling problems
Computers and Industrial Engineering
Multiobjective Scheduling by Genetic Algorithms
Multiobjective Scheduling by Genetic Algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Job Shop Scheduling with Genetic Algorithms
Proceedings of the 1st International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Genetic Local Search Algorithms for the Travelling Salesman Problem
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Scheduling: Theory, Algorithms, and Systems
Scheduling: Theory, Algorithms, and Systems
A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks
Journal of Scheduling
An effective hybrid genetic algorithm for flow shop scheduling with limited buffers
Computers and Operations Research
WSC '05 Proceedings of the 37th conference on Winter simulation
Parallel partitioning method (PPM): A new exact method to solve bi-objective problems
Computers and Operations Research
Computers and Operations Research
Genetic optimization of order scheduling with multiple uncertainties
Expert Systems with Applications: An International Journal
Minimizing Cycle Time of the Flow Line --- Genetic Approach with Gene Expression
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Expert Systems with Applications: An International Journal
Fuzzy scheduling of job orders in a two-stage flowshop with batch-processing machines
International Journal of Approximate Reasoning
A single-machine bi-criterion learning scheduling problem with release times
Expert Systems with Applications: An International Journal
A knowledge-based approach for calculating setup times
International Journal of Computer Applications in Technology
Expert Systems with Applications: An International Journal
Computers and Operations Research
Solving a two-agent single-machine scheduling problem considering learning effect
Computers and Operations Research
Use of a genetic algorithm for building efficient choice designs
International Journal of Bio-Inspired Computation
Computers and Industrial Engineering
Optimization of performance of genetic algorithm for 0-1 knapsack problems using taguchi method
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Heuristics and metaheuristics for mixed blocking constraints flowshop scheduling problems
Computers and Operations Research
Grid branch-and-bound for permutation flowshop
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
A study of the single-machine two-agent scheduling problem with release times
Applied Soft Computing
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Genetic algorithms (GAs) are search heuristics used to solve global optimization problems in complex search spaces. We wish to show that the efficiency of GAs in solving a flowshop problem can be improved significantly by tailoring the various GA operators to suit the structure of the problem. The flowshop problem is one of scheduling jobs in an assembly line with the objective of minimizing the completion time or makespan. We compare the performance of CA using the standard implementation and a modified search strategy that tries to use problem specific information. We present empirical evidence via extensive simulation studies supported by statistical tests of improvement in efficiency.