DocumentCode
1747713
Title
Team model and taught-by-the-best operation
Author
Takahama, Tetsuyuki ; Sakai, Setsuko
Author_Institution
Fac. of Inf. Sci., Hiroshima City Univ., Japan
Volume
2
fYear
2001
fDate
2001
Firstpage
1093
Abstract
There are many optimization problems for which it is very difficult to obtain the exact solution within a practical time. In this case, we use approximation algorithms, such as the genetic algorithm (GA). The GA is a model of biological evolution. We propose a new optimization algorithm, called the “team model”, modeled on educational processes. There are some variations in the team model. We first examined the case where the worst individual in the team becomes a student and the other individuals become teachers. In other words, many teachers teach one student. We call this teaching operation the teaching-the-worst (TW) operation. However, in the real world, one teacher teaches several students in most cases. So, in this paper, we propose the taught-by-the-best (TB) operation, which imitates the case where one teacher teaches many students. We compare the TB operation with the TW operation. We also compare the “team model/TB” with the GA. We show that this method is effective for many problems
Keywords
education; optimisation; teaching; approximation algorithms; biological evolution; educational processes; genetic algorithm; optimization problems; students; taught-by-the-best operation; teachers; teaching-the-worst operation; team model; Approximation algorithms; Biological system modeling; Cultural differences; Education; Evolution (biology); Genetic algorithms; Hopfield neural networks; Neural networks; Optimization methods; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2001. Proceedings of the 2001 Congress on
Conference_Location
Seoul
Print_ISBN
0-7803-6657-3
Type
conf
DOI
10.1109/CEC.2001.934313
Filename
934313
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