minimum spanning treetwo‐phase methodsThis paper presents a new two‐phase algorithm for the bi‐objective minimum spanning tree (BMST) problem. In the first phase, it computes the extreme supported efficient solutions resorting to both mathematical programming and algorithmic approaches, while the ...
While the Steiner problem for connecting a source with a multicast group apparently looks identical to the minimum-spanning-tree problem involving the same set of nodes, the difference is that the Steiner tree can incorporate other non-multicast-group vertices (the so-called Steiner points) and ...
WDM network reconfiguration consists of three phases [19]: (1) making a reconfiguration policy decision whether a reconfiguration should be conducted; (2) selecting a new virtual topology based on a certain optimization objective; and (3) migrating from the current topology to the new topology. ...
Bossek, J. (2017). mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem. The Journal of Open Source Software, 2017.Related workThe following packages provide methods to solve the single-objective MST problem:vegan: Community Ecology Package igraph: Network Analysis and ...
This paper applies a policy sciences perspective to the movement's disappointments over the last few decades, and in particular, the failure to realize earlier aspirations for rational, objective analysis on the more important and controversial policy issues. The paper offers a definition and ...
And multilabel (classification problem, one sample can belong to several classes) Evaluation Metrics For any kind of machine learning problem, we must know how we are going to evaluate our results, or what the evaluation metric or objective is. For example in case of a skewed binary classifica...
character that is used for a phylogenetic analysis will yield the same (and correct) phylogeny because there is only one true organismal evolutionary history, signals of which should be present in all characters of the organisms that evolved along this true historical path in the Tree of Life. ...
The objective is to assign these nodes to proper routes in nearly real time which minimize the total traverse cost. To address the problem, a hierarchical framework is introduced, where the upper-level policy dy- namically partitions the problem into sub-problems, while the lower-level policy ...
In the objective function, they introduced a Manhattan distance between the individuals and center of the clusters as the average of their individual coordinates. The formulation evaluated for the pCCCP indicated that, for the selected instances (SJC), the results obtained were far (>100%) from ...
where the inequalities g(x)≥b and x≥0 are the constraints that specify a convex polytope over which the objective function c(x) is to be minimized, and f is the finite set of feasible solutions x that satisfy the constraints. There are many real-life problems (e.g., vehicle routing...