Fundamental resource-allocating model in colleges and universities based on Immune Clone Algorithms

In this thesis we will seek the combination of antibodies and antigens converted from the optimal course arrangement and make an analogy with Immune Clone Algorithms. According to the character of the Algorithms, we apply clone, clone gene and clone selection to arrange courses. Clone operator can c...

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Published inAIP conference proceedings Vol. 1839; no. 1
Main Author Ye, Mengdie
Format Journal Article Conference Proceeding
LanguageEnglish
Published 08.05.2017
Online AccessGet full text
ISSN0094-243X
1935-0465
1551-7616
1551-7616
DOI10.1063/1.4982518

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Abstract In this thesis we will seek the combination of antibodies and antigens converted from the optimal course arrangement and make an analogy with Immune Clone Algorithms. According to the character of the Algorithms, we apply clone, clone gene and clone selection to arrange courses. Clone operator can combine evolutionary search and random search, global search and local search. By cloning and clone mutating candidate solutions, we can find the global optimal solution quickly.
AbstractList In this thesis we will seek the combination of antibodies and antigens converted from the optimal course arrangement and make an analogy with Immune Clone Algorithms. According to the character of the Algorithms, we apply clone, clone gene and clone selection to arrange courses. Clone operator can combine evolutionary search and random search, global search and local search. By cloning and clone mutating candidate solutions, we can find the global optimal solution quickly.
Author Ye, Mengdie
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Editor You, Zhibin
Tan, Zhihui
Xiao, Jun
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References Adewumi, Sawyer, Ali (c1) 2009; 26
Chen, Chang, Yan (c2) 2012; 42
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– volume: 26
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  article-title: A heuristic solution to the university timetabling problem
  publication-title: Engineering Computation
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Title Fundamental resource-allocating model in colleges and universities based on Immune Clone Algorithms
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