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CPAIOR
2004
Springer
13 years 10 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder
MICAI
2004
Springer
13 years 10 months ago
Simple Feasibility Rules and Differential Evolution for Constrained Optimization
In this paper, we propose a differential evolution algorithm to solve constrained optimization problems. Our approach uses three simple selection criteria based on feasibility to g...
Efrén Mezura-Montes, Carlos A. Coello Coell...
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
13 years 10 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...
TFS
2008
230views more  TFS 2008»
13 years 4 months ago
SGERD: A Steady-State Genetic Algorithm for Extracting Fuzzy Classification Rules From Data
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
ICDM
2003
IEEE
91views Data Mining» more  ICDM 2003»
13 years 10 months ago
MPIS: Maximal-Profit Item Selection with Cross-Selling Considerations
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang