Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
A study of permutation crossover operators on the traveling salesman problem
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
BPSS: a scheduling support system for the packaging industry
Operations Research
AllelesLociand the Traveling Salesman Problem
Proceedings of the 1st International Conference on Genetic Algorithms
The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
HPC '00 Proceedings of the The Fourth International Conference on High-Performance Computing in the Asia-Pacific Region-Volume 2 - Volume 2
Enhancing Stochastic Search Performance by Value-Biased Randomization of Heuristics
Journal of Heuristics
Topological crossover for the permutation representation
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Depth-bounded discrepancy search
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Improved limited discrepancy search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Computers and Operations Research
Performance Evaluation of an Adaptive Ant Colony Optimization Applied to Single Machine Scheduling
SEAL '08 Proceedings of the 7th International Conference on Simulated Evolution and Learning
Solving permutational routing problems by population-based metaheuristics
Computers and Industrial Engineering
Journal of Intelligent Manufacturing
Computers and Operations Research
Computers and Operations Research
Clock power minimization using structured latch templates and decision tree induction
Proceedings of the International Conference on Computer-Aided Design
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In this paper, we introduce a new crossover operator for the permutation representation of a GA. This new operator---Non-Wrapping Order Crossover (NWOX)---is a variation of the well-known Order Crossover (OX) operator. It strongly preserves relative order, as does the original OX, but also respects the absolute positions within the parent permutations. This crossover operator is experimentally compared to several other permutation crossover operators on an NP-Hard problem known as weighted tardiness scheduling with sequence-dependent setups. A GA using this NWOX operator finds new best known solutions for several benchmark problem instances and proves to be superior to the previous best performing metaheuristic for the problem.