We present a C++ implementation of Tabu Search method for the Minimum k-Cardinality Tree problem. Tabu Search is a well known heuristic for sub-optimally solving optimization problems. This method applies also to Minimum k-Cardinality Tree --an important problem to both theory and industrial applications. Our implementation is based on generic programming and re-usability of several components for Tabu Search method. We have compared our program with other ad hoc implementations for the problem and have observed a good performance of our implementation. Moreover, our implementation represents time savings, flexibility and robustness mainly due to the component reuse
We propose an algorithm for combinatorial optimization where an explicit check for the repetition of...
In this paper an approach based on the tabu search paradigm to tackle the bilevel programming proble...
The goal of this book is to report original researches on algorithms and applications of Tabu Search...
We present a C++ implementation of a skeleton for Tabu Search method. Tabu Search method is a well-...
We present a C++ implementation of a skeleton for Tabu Search method. Tabu Search method is a well-k...
Tabu Search (TS) is a meta-heuristic for solving combinatorial optimization problems. A review of ex...
We present two generic parallel skeletons for the tabu search method-a well known meta-heuristic for...
In this paper we present two parallel skeltons for Tabu Search method --a well known meta-heuristic ...
In this paper we present two parallel skeletons for Tabu Search method -- a well known meta-heuristi...
This paper considers k-minimum spanning tree problems. An existing solution algorithm based on tabu ...
We describe the main features of tabu search, emphasizing a perspective for guiding a user to unders...
Abstract This paper introduces tabu search for the solution of general linear integer prob-lems. Sea...
Abstract: This paper puts forth a general method to effectively optimize constrained problems when u...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
Although tabu search algorithms have been used for combinatorial problems such as assignment, schedu...
We propose an algorithm for combinatorial optimization where an explicit check for the repetition of...
In this paper an approach based on the tabu search paradigm to tackle the bilevel programming proble...
The goal of this book is to report original researches on algorithms and applications of Tabu Search...
We present a C++ implementation of a skeleton for Tabu Search method. Tabu Search method is a well-...
We present a C++ implementation of a skeleton for Tabu Search method. Tabu Search method is a well-k...
Tabu Search (TS) is a meta-heuristic for solving combinatorial optimization problems. A review of ex...
We present two generic parallel skeletons for the tabu search method-a well known meta-heuristic for...
In this paper we present two parallel skeltons for Tabu Search method --a well known meta-heuristic ...
In this paper we present two parallel skeletons for Tabu Search method -- a well known meta-heuristi...
This paper considers k-minimum spanning tree problems. An existing solution algorithm based on tabu ...
We describe the main features of tabu search, emphasizing a perspective for guiding a user to unders...
Abstract This paper introduces tabu search for the solution of general linear integer prob-lems. Sea...
Abstract: This paper puts forth a general method to effectively optimize constrained problems when u...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
Although tabu search algorithms have been used for combinatorial problems such as assignment, schedu...
We propose an algorithm for combinatorial optimization where an explicit check for the repetition of...
In this paper an approach based on the tabu search paradigm to tackle the bilevel programming proble...
The goal of this book is to report original researches on algorithms and applications of Tabu Search...