Title
Exact Algorithms for the Max-Min Dispersion Problem.
Abstract
Given a set P of n elements, and a function d that assigns a non-negative real number d(p, q) for each pair of elements p, q is an element of P, we want to find a subset S. P with vertical bar S vertical bar = k such that cost(S) = min{d(p, q) vertical bar p, q is an element of S} is maximized. This is the max-min k-dispersion problem. In this paper, exact algorithms for the max-min k-dispersion problem are studied. We first show the max-min k-dispersion problem can be solved in O(n(omega k/3) log n) time. Then, we show two special cases in which we can solve the problem quickly. Namely, we study the cases where a set of n points lie on a line and where a set of n points lie on a circle (and the distance is measured by the shortest arc length on the circle). We obtain O(n)-time algorithms after sorting.
Year
DOI
Venue
2018
10.1007/978-3-319-78455-7_20
Lecture Notes in Computer Science
Keywords
DocType
Volume
Dispersion problem,Algorithm
Conference
10823
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Toshihiro Akagi100.34
Tetsuya Araki200.34
Takashi Horiyama38119.76
Shin-ichi Nakano424624.40
Yoshio Okamoto517028.50
Yota Otachi616137.16
Toshiki Saitoh78714.95
Ryuhei Uehara852875.38
Takeaki Uno91319107.99
Kunihiro Wasa101310.85