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GECCO
2004
Springer
15 years 3 months ago
How Are We Doing? Predicting Evolutionary Algorithm Performance
Abstract. Given an evolutionary algorithm for a problem and an instance of the problem, the results of several trials of the EA on the instance constitute a sample from the distrib...
Mark A. Renslow, Brenda Hinkemeyer, Bryant A. Juls...
SODA
2012
ACM
297views Algorithms» more  SODA 2012»
13 years 2 days ago
Constant factor approximation algorithm for the knapsack median problem
We give a constant factor approximation algorithm for the following generalization of the k-median problem. We are given a set of clients and facilities in a metric space. Each fa...
Amit Kumar
SODA
2008
ACM
156views Algorithms» more  SODA 2008»
14 years 11 months ago
Approximating TSP on metrics with bounded global growth
The Traveling Salesman Problem (TSP) is a canonical NP-complete problem which is known to be MAXSNP hard even on Euclidean metrics (of high dimensions) [40]. In order to circumven...
T.-H. Hubert Chan, Anupam Gupta
WADS
2005
Springer
162views Algorithms» more  WADS 2005»
15 years 3 months ago
The Minimum-Area Spanning Tree Problem
Motivated by optimization problems in sensor coverage, we formulate and study the Minimum-Area Spanning Tree (mast) problem: Given a set P of n points in the plane, find a spannin...
Paz Carmi, Matthew J. Katz, Joseph S. B. Mitchell
DISOPT
2006
101views more  DISOPT 2006»
14 years 9 months ago
Greedy-type resistance of combinatorial problems
This paper gives a sufficient condition for a combinatorial problem to be greedy-type-resistant, i.e. such that, on some instances of the problem, any greedy-type algorithm will o...
Gareth Bendall, François Margot