A Global Optimization Algorithm For Solving The Minimum Multiple Ratio Spanning Tree Problem
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An Analysis of Feature Selection Algorithm and their
on problem-solving issues in engineering progresses and influence in the advancement of artificial intelligence . Metaheuristics algorithms implement Evolutionary feature selection algorithms. The purpose of Evolutionary feature selection algorithms is to search space with the assessment of global and local functions.
Optimization Modeling with LINGO by Linus Schrage
Optimization Modeling with LINGO by Linus Schrage Preface
IEEE TRANSACTIONS ON ROBOTICS, VOL. 32, NO. 5, OCTOBER 2016
common global objectives for MPP. The resulting algorithms, in particular the one for computing the minimum makespan, are highly effective in solving challenging problem instances with a robot-vertex ratio up to 100%. Second, we introduce several principled heuristics, in particular a k-way split heuristic that
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An FPTAS for optimizing a class of low-rank functions over a
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Parallel Minimum Spanning Tree Heuristic for the Steiner
while when N = V the problem reduces to the minimum spanning tree problem. Both these problems can be solved in polynomial time. On the other hand, the Steiner tree problem is NP-hard when the graph G is a chordal graph, a bipartite graph or a complete graph with edge weights either 1 or 2. Thus in the general case the problem is an NP-hard
An FPTAS for Optimizing a Class of Low-Rank Functions
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R. Chandrasekaran considers in  the minimal spanning tree problem. For a given undirected connected graph G - ( JP, E) with node set N and edge set E and given numbers xt and yt, i e E, the problem is to find a spanning tree T such that the ratio is minimized. гет ieT W. T. Ziemba, F. J. Brooks-Hill and C. Parkan ,  arrive
Research Article Geometry-Experiment Algorithm for Steiner
It is well known that the Steiner minimal tree problem is one of the classical nonlinear combinatorial optimization problems. A visualization experiment approach succeeds in generating Steiner points automatically and showing the system shortest path, named Steiner minimum tree, physically and intuitively.
Oleg A. Prokopyev
Sep 05, 2019 oleg a. prokopyev curriculum vitae (updated 9/5/2019) department of industrial engineering university of pittsburgh 1031 benedum hall, pittsburgh, pa 15261 phone: (412) 624-9833 fax: (412) 624-9831
Computational Intelligence Based Efficient Routing in MANET
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Improved Minimum Spanning Tree Heuristics for Steiner Tree
heuristic algorithm about Steiner tree problem has important practical and theoretical significance. In this paper we first review one of the existing algorithms for solving the Steiner problem in graphs, Minimum Spanning Tree Heuristic algorithm, then presenting a new heuristic algorithm IMSTH to improve it.
Hybrid Two-Stage Algorithm for Solving Transportation Problem
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Solving the MDBCS Problem Using the Metaheuric Genetic Algorithm
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Apr 26, 2019 OLEG A. PROKOPYEV 4 45.O. Ursulenkoz, S. Butenko, O.A. Prokopyev, A Global Optimization Algorithm for Solving the Min- imum Multiple Ratio Spanning Tree Problem, Journal of Global Optimization, Vol. 56/3 (2013), pp.
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Nov 14, 2014 Ursulenkoz, S. Butenko, O.A. Prokopyev, A Global Optimization Algorithm for Solving the Min- imum Multiple Ratio Spanning Tree Problem, Journal of Global Optimization, Vol. 56/3 (2013), pp. 1029 1043.
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Shorten the Trajectory of Mobile Sensors in Sweep Coverage
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The Steiner tree problem is superﬁcially similar to the minimum spanning tree problem. solving the Steiner tree problem. stochastic optimization algorithm with a global search for
Oleg A. Prokopyev - Pitt
Sep 29, 2020 oleg a. prokopyev curriculum vitae (updated 9/29/2020) department of industrial engineering university of pittsburgh 1031 benedum hall, pittsburgh, pa 15261 phone: (412) 624-9833 fax: (412) 624-9831
Preferred Direction Steiner Trees
The general Steiner tree problem is to construct a tree of minimal cost or minimal length, spanning a set of demand points and possibly some additional Steiner points. Without Steiner points, the problem is simply one of constructing a minimum spanning tree (MST), and the algorithms of Kruskal  and Prim  are well known and computa-
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minimum investment, more and more researchers are concen-141 trating on solving the wind farm layout optimization (WFLO) 142 problem with evolutional algorithms.
Oleg A. Prokopyev - Pitt
May 11, 2020 oleg a. prokopyev curriculum vitae (updated 5/11/2020) department of industrial engineering university of pittsburgh 1031 benedum hall, pittsburgh, pa 15261 phone: (412) 624-9833 fax: (412) 624-9831
A Genetic Algorithm for Steiner Tree Optimization with
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selects optimum one for route. Comparison with minimum spanning tree algorithm, least energy tree algorithm, and Dijkstra algorithm is presented. Numerical experiments show that the proposed routing algorithm gained lifetime best than the other three routing algorithms along with keeping power consumption in low level.
service radius and total wiring length. To solve the problem, we restrict the points to tree topology, e.g., a minimum spanning tree. We then solve a bounded fan out p center problem on the tree to cluster the points. An (ˇ)(n log2 n) algorithm is given for solving this problem. Experimental results show that this approach is promising.
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EXACT METHODS IN FRACTIONAL COMBINATORIAL OPTIMIZATION
three, probably, most classical FCOPs: Minimum Multiple Ratio Spanning Tree (MMRST), Minimum Multiple Ratio Path (MMRP) and Minimum Multiple Ratio Cycle (MMRC). The rst two problems are studied in detail, while for the other one only the theoretical complexity issues are addressed.