Cat Swarm Optimization Supported Data Mining

Author(s):  
Pei-Wei Tsai ◽  
Jeng-Shyang Pan ◽  
Bin-Yih Liao ◽  
Shu-Chuan Chu ◽  
Mei-Chiao Lai

This chapter reviews the basic idea and processes in data mining and some algorithms within the field of evolutionary computing. The authors focus on introducing the algorithms of computational intelligence since they are useful tools for solving problems of optimization, data mining, and many kinds of industrial issues. A feasible model of combining computational intelligence with data mining is presented at the end of the chapter with the conclusions.

2012 ◽  
Vol 490-495 ◽  
pp. 524-528
Author(s):  
Jun Fei Zhuo ◽  
Xing He Wu ◽  
Guan Zhao Wu ◽  
Min Yao

Evolutionary computing is one of the important branches in computational intelligence. This paper mainly introduces four new branches of the evolutionary computation, i.e. Gene Expression Programming (GEP), Particle Swarm Optimization (PSO), Differential Evolution (DE) and Estimation of Distribution Algorithms (EDA).


2021 ◽  
Vol 11 (6) ◽  
pp. 2637
Author(s):  
Iztok Fister ◽  
Iztok Fister

Sport can be viewed from two standpoints: professional and recreational [...]


2020 ◽  
pp. 55-69
Author(s):  
Dorin Moldovan ◽  
Viorica Chifu ◽  
Ioan Salomie ◽  
Adam Slowik

2020 ◽  
pp. 57-72
Author(s):  
Dorin Moldovan ◽  
Adam Slowik ◽  
Viorica Chifu ◽  
Ioan Salomie

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