The Connected Vertex Cover problem is to decide if a graph G has a vertex cover of size at most k that induces a connected subgraph of G. This is a well-studied problem, known to be NP-complete for restricted graph cl...
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The Connected Vertex Cover problem is to decide if a graph G has a vertex cover of size at most k that induces a connected subgraph of G. This is a well-studied problem, known to be NP-complete for restricted graph classes, and, in particular, for H-free graphs if H is not a linear forest. On the other hand, the problem is known to be polynomial-time solvable for sP(2)-free graphs for any integer s >= 1. We give a polynomial-time algorithm to solve the problem for (sP(1)+P-5)-free graphs for every integer s >= 0. Our algorithm can also be used for the WEIGHTED CONNECTED VERTEX COVER problem.
Efficient inspection of ships at ports to ensure their compliance with safety and environmental regulations is of vital significance to maritime transportation. Given that maritime authorities often have limited inspe...
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Efficient inspection of ships at ports to ensure their compliance with safety and environmental regulations is of vital significance to maritime transportation. Given that maritime authorities often have limited inspection resources, we proposed three two-step approaches that match the inspection resources with the ships, aimed at identifying the most deficiencies (non-compliances with regulations) of the ships. The first approach predicts the number of deficiencies in each deficiency category for each ship and then develops an integer optimization model that assigns the inspectors to the ships to be inspected. The second approach predicts the number of deficiencies each inspector can identify for each ship and then applies an integer optimization model to assign the inspectors to the ships to be inspected. The third approach is a semi-"smart predict then optimize" (semi-SPO) method. It also predicts the number of deficiencies each inspector can identify for each ship and uses the same integer optimization model as the second approach, however, instead of minimizing the mean squared error as in the second approach, it adopts a loss function motivated by the structure of the optimization problem in the second approach. Numerical experiments show that the proposed approaches improve the current inspection efficiency by over 4% regarding the total number of detected deficiencies. Through comprehensive sensitivity analysis, several managerial insights are generated and the robustness of the proposed approaches is validated. (c) 2020 Elsevier Ltd. All rights reserved.
Response function (RF), which gives the value of maximum feasible outputs in response to changing the inputs, has a crucial role in performance analysis and scale elasticity measurement. In this paper, a polynomial-ti...
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Response function (RF), which gives the value of maximum feasible outputs in response to changing the inputs, has a crucial role in performance analysis and scale elasticity measurement. In this paper, a polynomial-time algorithm is provided which is able to obtain the closed form of the RF under (nonconvex) FDH productions technologies. Finite convergence of the presented algorithm is proved;and it is established that the algorithm is polynomial-time from a complexity standpoint. Moreover, an application of the proposed procedure with real-world data accompanying some experiment-based computational discussions are given.
The paper deals with an inverse problem of reconstructing matrices from their marginal sums. More precisely, we are interested in the existence of rxsmatrices for which only the following information is available: The...
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The paper deals with an inverse problem of reconstructing matrices from their marginal sums. More precisely, we are interested in the existence of rxsmatrices for which only the following information is available: The entries belong to known subsets of c distinguishable abelian groups, and the row and column sums of all entries from each group are given. This generalizes Ryser's classical problem of characterizing the set of all 0-1-matrices with given row and column sums and is a basic problem in (polyatomic) discrete tomography. We show that the problem is closely related to packings of trees in bipartite graphs, prove consistency results, give algorithms and determine its complexity. In particular, we find a somewhat unusual complexity behavior: the problem is hard for "small" but easy for "large" matrices.
The 2-closure (G) over bar of a permutation group G on Omega is defined to be the largest permutation group on Omega, having the same orbits on Omega x Omega as G. It is proved that if G is supersolvable, then (G) ove...
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The 2-closure (G) over bar of a permutation group G on Omega is defined to be the largest permutation group on Omega, having the same orbits on Omega x Omega as G. It is proved that if G is supersolvable, then (G) over bar can be found in polynomialtime in vertical bar Omega vertical bar. As a by-product of our technique, it is shown that the composition factors of (G) over bar are cyclic or alternating.
In social networks the STRONG TRIADIC CLOSURE is an assignment of the edges with strong or weak labels such that any two vertices that have a common neighbor with a strong edge are adjacent. The problem of maximizing ...
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In social networks the STRONG TRIADIC CLOSURE is an assignment of the edges with strong or weak labels such that any two vertices that have a common neighbor with a strong edge are adjacent. The problem of maximizing the number of strong edges that satisfy the strong triadic closure was recently shown to be NP-complete for general graphs. Here we initiate the study of graph classes for which the problem is solvable. We show that the problem admits a polynomial-time algorithm for two incomparable classes of graphs: proper interval graphs and trivially-perfect graphs. To complement our result, we show that the problem remains NP-complete on split graphs, and consequently also on chordal graphs. Thus, we contribute to define the first border between graph classes on which the problem is polynomially solvable and on which it remains NP-complete. (C) 2020 Elsevier B.V. All rights reserved.
We investigate the scheduling problem on a single bounded parallel-batch machine where jobs belong to two non-disjoint agents (called agent A and agent B) and are of equal length but different size. Each job's siz...
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We investigate the scheduling problem on a single bounded parallel-batch machine where jobs belong to two non-disjoint agents (called agent A and agent B) and are of equal length but different size. Each job's size can be arbitrarily split into two parts and processed in the consecutive batches. It is permitted to process the jobs from different agents in a common batch. We show that it is unary NP-hard for the problem of minimizing the total weighted completion time of the jobs of agent A subject to the maximum cost of the jobs of agent B being upper bounded by a given threshold. For the case of the jobs of agent A having identical weights, we study the version of Pareto problem, and give a polynomial-time algorithm to generate all Pareto optimal points and a Pareto optimal schedule corresponding to each Pareto optimal point.
A disconnected cut of a connected graph is a vertex cut that itself also induces a disconnected subgraph. The corresponding decision problem is called DISCONNECTED CUT. This problem is known to be NP-hard on general g...
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A disconnected cut of a connected graph is a vertex cut that itself also induces a disconnected subgraph. The corresponding decision problem is called DISCONNECTED CUT. This problem is known to be NP-hard on general graphs. We prove that it is polynomialtime solvable on claw-free graphs, answering a question of Ito et al. (TCS 2011). The basis for our result is a decomposition theorem for claw-free graphs of diameter 2, which we believe is of independent interest and builds on the research line initiated by Chudnovsky and Seymour (JCTB 2007-2012) and Hermelin et al. (ICALP 2011). On our way to exploit this decomposition theorem, we characterize how disconnected cuts interact with certain cobipartite subgraphs, and prove two further algorithmic results, namely that DISCONNECTED CUT is polynomial-time solvable on circular-arc graphs and line graphs. (C) 2020 Elsevier Inc. All rights reserved.
This paper proposes two algorithms, namely Server-User Matching (SUM) algorithm and Extended Server-User Matching (ESUM) algorithm, for the distributed server allocation problem. The server allocation problem is to de...
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This paper proposes two algorithms, namely Server-User Matching (SUM) algorithm and Extended Server-User Matching (ESUM) algorithm, for the distributed server allocation problem. The server allocation problem is to determine the matching between servers and users to minimize the maximum delay, which is the maximum time to complete user synchronization. We analyze the computational time complexity. We prove that the SUM algorithm obtains the optimal solutions in polynomialtime for the special case that all server-server delay values are the same and constant. We provide the upper and lower bounds when the SUM algorithm is applied to the general server allocation problem. We show that the ES UM algorithm is a fixed-parameter tractable algorithm that can attain the optimal solution for the server allocation problem parameterized by the number of servers. Numerical results show that the computation time of ESUM follows the analyzed complexity while the ESUM algorithm outperforms the approach of integer linear programming solved by our examined solver.
The (WEIGHTED) SUBSET FEEDBACK VERTEX SET problem is a generalization of the classical FEEDBACK VERTEX SET problem and asks for a vertex set of minimum (weight) size that intersects all cycles containing a vertex of a...
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The (WEIGHTED) SUBSET FEEDBACK VERTEX SET problem is a generalization of the classical FEEDBACK VERTEX SET problem and asks for a vertex set of minimum (weight) size that intersects all cycles containing a vertex of a predescribed set of vertices. Although SUBSET FEEDBACK VERTEX SET and FEEDBACK VERTEX SET exhibit different computational complexity on split graphs, no similar characterization is known on other classes of graphs. Towards the understanding of the complexity difference between the two problems, it is natural to study the importance of structural graph parameters. Here we consider graphs of bounded independent set number for which it is known that WEIGHTED FEEDBACK VERTEX SET can be solved in polynomialtime. We provide a dichotomy result with respect to the size alpha OF a maximum independent set. In particular we show that WEIGHTED SUBSET FEEDBACK VERTEX SET can be solved in polynomialtime for graphs with alpha <= 3, whereas we prove that the problem remains NP-hard for graphs with alpha >= 4. Moreover, we show that the (unweighted) SUBSET FEEDBACK VERTEX SET problem can be solved in polynomialtime on graphs of bounded independent set number by giving an algorithm with running time n(O)(alpha). To complement our results, we demonstrate how our ideas can be extended to other terminal set problems on graphs of bounded independent set size. NODE MULTIWAY CUT is a terminal set problem that asks for a vertex set of minimum size that intersects all paths connecting any two terminals. Based on our findings for SUBSET FEEDBACK VERTEX SET, we settle the complexity of NODE MULTIWAY CUT as well as its variants where nodes are weighted and/or the terminals are deletable, for every value of the given independent set number. (C) 2020 Elsevier B.V. All rights reserved.
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