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» Evolutionary Algorithms for Vertex Cover
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JACM
2006
99views more  JACM 2006»
14 years 11 months ago
Finding a maximum likelihood tree is hard
Abstract. Maximum likelihood (ML) is an increasingly popular optimality criterion for selecting evolutionary trees [Felsenstein 1981]. Finding optimal ML trees appears to be a very...
Benny Chor, Tamir Tuller
MICS
2010
102views more  MICS 2010»
14 years 10 months ago
On Conditional Covering Problem
The conditional covering problem (CCP) aims to locate facilities on a graph, where the vertex set represents both the demand points and the potential facility locations. The proble...
Balasubramanian Sivan, S. Harini, C. Pandu Rangan
CEC
2005
IEEE
15 years 5 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
AUSAI
2005
Springer
15 years 1 months ago
Understanding the Pheromone System Within Ant Colony Optimization
Abstract. Ant Colony Optimization (ACO) is a collection of metaheuristics inspired by foraging in ant colonies, whose aim is to solve combinatorial optimization problems. We identi...
Stephen Gilmour, Mark Dras
ESA
2001
Springer
132views Algorithms» more  ESA 2001»
15 years 4 months ago
Greedy Algorithms for Minimisation Problems in Random Regular Graphs
In this paper we introduce a general strategy for approximating the solution to minimisation problems in random regular graphs. We describe how the approach can be applied to the m...
Michele Zito