In this paper, we propose the new heuristic, called Center-Based Recursive Clustering – CBRC, for solving the bounded diameter minimum spanning tree (BDMST) problem. Our proposed hybrid genetic algorithm [12] is also extended to include the new heuristic and a multi-parent crossover operator. We experiment the new heuristic and genetic algorithm on two sets of benchmark problem instances for the Euclidean and Non-Euclidean cases. Experimental results show the effectiveness of the proposed heuristic and genetic algorithm. Keywords Bounded diameter minimum spanning tree, heuristic algorithm, hybrid genetic algorithm, multi-parent crossover. 1
Abstract. In this paper we consider bi-criteria geometric optimization problems, in particular, the ...
The Degree Constrained Minimum Spanning Tree (DCMST) on a graph is the problem of generating a minim...
Bi-level optimisation problems have gained increasing inter- est in the field of combinatorial optim...
International audienceThe bi-objective minimum diameter-cost spanning tree problem (bi-MDCST) seeks ...
The bounded-degree minimum spanning tree (BDMST) problem has many practical applications. Unlike th...
A novel approach is proposed for the NP-hard min-degree constrained minimum spanning tree (md-MST). ...
The problem of computing spanning trees along with specific constraints has been studied in many for...
A major challenge to solving multiobjective optimization problems is to capture possibly all the (re...
The problem of computing spanning trees along with specific constraints is mostly NP-hard. Many appr...
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searc...
The features of an evolutionary algorithm that most determine its performance are the coding by whic...
International audienceWe propose a hybrid GRASP and ILS based heuristic for the diameter constrained...
The generalized minimum spanning tree problem consists of finding a minimum cost spanning tree in an...
The Euclidean minimum spanning tree for a set of points is the shortest tree connecting all the poin...
A hybridised and Knowledge-based Evolutionary Algorithm (KEA) is applied to the multi-criterion mini...
Abstract. In this paper we consider bi-criteria geometric optimization problems, in particular, the ...
The Degree Constrained Minimum Spanning Tree (DCMST) on a graph is the problem of generating a minim...
Bi-level optimisation problems have gained increasing inter- est in the field of combinatorial optim...
International audienceThe bi-objective minimum diameter-cost spanning tree problem (bi-MDCST) seeks ...
The bounded-degree minimum spanning tree (BDMST) problem has many practical applications. Unlike th...
A novel approach is proposed for the NP-hard min-degree constrained minimum spanning tree (md-MST). ...
The problem of computing spanning trees along with specific constraints has been studied in many for...
A major challenge to solving multiobjective optimization problems is to capture possibly all the (re...
The problem of computing spanning trees along with specific constraints is mostly NP-hard. Many appr...
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searc...
The features of an evolutionary algorithm that most determine its performance are the coding by whic...
International audienceWe propose a hybrid GRASP and ILS based heuristic for the diameter constrained...
The generalized minimum spanning tree problem consists of finding a minimum cost spanning tree in an...
The Euclidean minimum spanning tree for a set of points is the shortest tree connecting all the poin...
A hybridised and Knowledge-based Evolutionary Algorithm (KEA) is applied to the multi-criterion mini...
Abstract. In this paper we consider bi-criteria geometric optimization problems, in particular, the ...
The Degree Constrained Minimum Spanning Tree (DCMST) on a graph is the problem of generating a minim...
Bi-level optimisation problems have gained increasing inter- est in the field of combinatorial optim...