AbstractIn discrete maximization problems one typically wants to find an optimal solution. However, in topics like “alignment of DNA-strings,” “automatic speech recognition,” and “computer chess” people have been asking for finding not only the best, but thekbest solutions. Sometimes it becomes a problem when thesekbest solutions are too similar. This similarity problem may be overcome by demanding that theksolutions obey certain distance conditions. We investigate the simplest casek=2 and we look at valuated matroids. We present several exemplary results, concerning also time complexity. These results are interesting in themselves. But they are also good references for similar studies in other fields with less smooth structures
A matroid is a notion of independence in combi-natorial optimization which is closely related to com...
The Fréchet distance is a popular and widespread distance measure for point sequences and for curves...
AbstractWe establish a necessary and sufficient condition for a greedy algorithm to find an optimal ...
AbstractIn discrete maximization problems one typically wants to find an optimal solution. However, ...
AbstractIn discrete maximization problems one usually wants to find an optimal solution. However, in...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple re...
We present a question, motivated from chemical graph theory, of maximizing the sum of pairwise dista...
We analyze the performance of evolutionary algorithms on various matroid optimization problems that ...
Perhaps the two most fundamental well-solved models in combinatorial optimization are the optimal ma...
International audienceIn recent years, the theory behind distance functions defined by neighbourhood...
Abstract. A realisation of a metric d on a finite set X is a weighted graph (G,w) whose vertex set c...
We describe an important class of semidefinite programming problems that has received scant attentio...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple rep...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple rep...
AbstractFor k = 2 and 3, we define several k-sums of binary matroids and of polytopes arising from c...
A matroid is a notion of independence in combi-natorial optimization which is closely related to com...
The Fréchet distance is a popular and widespread distance measure for point sequences and for curves...
AbstractWe establish a necessary and sufficient condition for a greedy algorithm to find an optimal ...
AbstractIn discrete maximization problems one typically wants to find an optimal solution. However, ...
AbstractIn discrete maximization problems one usually wants to find an optimal solution. However, in...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple re...
We present a question, motivated from chemical graph theory, of maximizing the sum of pairwise dista...
We analyze the performance of evolutionary algorithms on various matroid optimization problems that ...
Perhaps the two most fundamental well-solved models in combinatorial optimization are the optimal ma...
International audienceIn recent years, the theory behind distance functions defined by neighbourhood...
Abstract. A realisation of a metric d on a finite set X is a weighted graph (G,w) whose vertex set c...
We describe an important class of semidefinite programming problems that has received scant attentio...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple rep...
We consider problems where a solution is evaluated with a couple. Each coordinate of this couple rep...
AbstractFor k = 2 and 3, we define several k-sums of binary matroids and of polytopes arising from c...
A matroid is a notion of independence in combi-natorial optimization which is closely related to com...
The Fréchet distance is a popular and widespread distance measure for point sequences and for curves...
AbstractWe establish a necessary and sufficient condition for a greedy algorithm to find an optimal ...