OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms
Proceedings of the 5th International Conference on Genetic Algorithms
Further explorations into ternary complementary pairs
Journal of Combinatorial Theory Series A
Representations for Genetic and Evolutionary Algorithms
Representations for Genetic and Evolutionary Algorithms
Biased random-key genetic algorithms for combinatorial optimization
Journal of Heuristics
A modified power spectral density test applied to weighing matrices with small weight
Journal of Combinatorial Optimization
Extended multi-objective fast messy genetic algorithm solving deception problems
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
Self-dual codes over Fp and weighing matrices
IEEE Transactions on Information Theory
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In this paper, we demonstrate that the search for weighing matrices constructed from two circulants can be viewed as a minimization problem together with two competent genetic algorithms to locate optima of an objective function. The motivation to deal with the messy genetic algorithm (mGA) is given from the pioneering results of Goldberg, regarding the ability of the mGA to put tight genes together in a solution which points directly to structural patterns in weighing matrices. In order to take into advantage certain properties of two ternary sequences with zero autocorrelation we use an adaptation of the fast messy GA (fmGA) where we combine mGA with advanced techniques, such as thresholding and tie-breaking. This transformation of the weighing matrices problem to an instance of a combinatorial optimization problem seems to be promising, since we resolved two open cases for weighing matrices as these are listed in the second edition of the Handbook of Combinatorial Designs.