Sciweavers

934 search results - page 34 / 187
» A theoretical analysis of the HIFF problem
Sort
View
GECCO
2007
Springer
124views Optimization» more  GECCO 2007»
15 years 1 months ago
Fitness-proportional negative slope coefficient as a hardness measure for genetic algorithms
The Negative Slope Coefficient (nsc) is an empirical measure of problem hardness based on the analysis of offspring-fitness vs. parent-fitness scatterplots. The nsc has been teste...
Riccardo Poli, Leonardo Vanneschi
FSTTCS
2009
Springer
15 years 4 months ago
Donation Center Location Problem
We introduce and study the donation center location problem, which has an additional application in network testing and may also be of independent interest as a general graph-theor...
Chien-Chung Huang, Zoya Svitkina
GECCO
2007
Springer
193views Optimization» more  GECCO 2007»
15 years 3 months ago
Approximating covering problems by randomized search heuristics using multi-objective models
The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
LICS
2006
IEEE
15 years 3 months ago
The Boundedness Problem for Monadic Universal First-Order Logic
We consider the monadic boundedness problem for least fixed points over FO formulae as a decision problem: Given a formula ϕ(X, x), positive in X, decide whether there is a unif...
Martin Otto
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 1 months ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...