Titlebook: Swarm Intelligence for Multi-objective Problems in Data Mining; Carlos Artemio Coello Coello,Satchidananda Dehuri, Book 2009 Springer-Verl

HEDGE

Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windg are described. A set of well-known benchmark functions in VRPTW are used to compare the effectiveness of the proposed method. The results show the importance of examining characteristics of a set of non-dominated solutions, that fairly consider the three dimensions, when a user should select only one solution according to problem conditions.

AIL

Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers,o objectives: the number of features and the error classification. Two pheromone matrices and two different heuristics are used for each objective. The performance of the method is compared to other feature selection methods, revealing similar or higher performance.

NADIR

laparoscopy

Book 2009particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of motivating more researchers in evolutionary computation and machine learning to do research

SLAY

Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers,el classifiers (named direct applications) and optimizing the performance aspects of conventional classifiers (named indirect applications). Also, a review of some of the past and ongoing related research is presented.

ingenue

Studies in Computational Intelligencehttp://image.papertrans.cn/t/image/883675.jpg

分离

organism

978-3-642-26053-7Springer-Verlag Berlin Heidelberg 2009

aesthetician

Swarm Intelligence for Multi-objective Problems in Data Mining978-3-642-03625-5Series ISSN 1860-949X Series E-ISSN 1860-9503

Neutral-Spine

Carlos Artemio Coello Coello,Satchidananda Dehuri,Presents recent results on Swarm Intelligence for Multi-objective Problems in Data Mining