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HIS
2008
13 years 9 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
WSC
2004
13 years 9 months ago
Optimal Computing Budget Allocation for Multi-Objective Simulation Models
Simulation plays a vital role in identifying the best system design from among a set of competing designs. To improve simulation efficiency, ranking and selection techniques are o...
Loo Hay Lee, Ek Peng Chew, Suyan Teng, David Golds...
APIN
2006
207views more  APIN 2006»
13 years 7 months ago
Multi-Objective Genetic Algorithms for Vehicle Routing Problem with Time Windows
The Vehicle Routing Problem with Time windows (VRPTW) is an extension of the capacity constrained Vehicle Routing Problem (VRP). The VRPTW is NP-Complete and instances with 100 cus...
Beatrice M. Ombuki, Brian Ross, Franklin Hanshar
GECCO
2008
Springer
183views Optimization» more  GECCO 2008»
13 years 8 months ago
UMDAs for dynamic optimization problems
This paper investigates how the Univariate Marginal Distribution Algorithm (UMDA) behaves in non-stationary environments when engaging in sampling and selection strategies designe...
Carlos M. Fernandes, Cláudio F. Lima, Agost...
GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
14 years 23 days ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr