HEDGE
发表于 2025-3-26 21:33:11
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
发表于 2025-3-27 04:36:00
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
发表于 2025-3-27 05:55:56
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laparoscopy
发表于 2025-3-27 10:53:54
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
发表于 2025-3-27 15:27:23
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
发表于 2025-3-27 19:11:32
Studies in Computational Intelligencehttp://image.papertrans.cn/t/image/883675.jpg
分离
发表于 2025-3-28 01:49:18
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organism
发表于 2025-3-28 04:00:52
978-3-642-26053-7Springer-Verlag Berlin Heidelberg 2009
aesthetician
发表于 2025-3-28 10:08:05
Swarm Intelligence for Multi-objective Problems in Data Mining978-3-642-03625-5Series ISSN 1860-949X Series E-ISSN 1860-9503
Neutral-Spine
发表于 2025-3-28 13:22:06
Carlos Artemio Coello Coello,Satchidananda Dehuri,Presents recent results on Swarm Intelligence for Multi-objective Problems in Data Mining