Self-dual Codes Using Image Restoration Techniques
AAECC-14 Proceedings of the 14th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Ant Colony Optimization
The homological reduction method for computing cocyclic Hadamard matrices
Journal of Symbolic Computation
Rooted Trees Searching for Cocyclic Hadamard Matrices over D4t
AAECC-18 '09 Proceedings of the 18th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
A heuristic procedure with guided reproduction for constructing cocyclic Hadamard matrices
ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms
A genetic algorithm for cocyclic hadamard matrices
AAECC'06 Proceedings of the 16th international conference on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
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An Ant Colony System (ACS) looking for cocyclic Hadamard matrices over dihedral groups D4t is described. The underlying weighted graph consists of the rooted trees described in [1], whose vertices are certain subsets of coboundaries. A branch of these trees defines a D4t- Hadamard matrix if and only if two conditions hold: (i) Ii = i - 1 and, (ii) ci = t, for every 2 ≤ i ≤ t, where Ii and ci denote the number of i- paths and i-intersections (see [3] for details) related to the coboundaries defining the branch. The pheromone and heuristic values of our ACS are defined in such a way that condition (i) is always satisfied, and condition (ii) is closely to be satisfied.