Presentation 2014-10-17
Combination of Immune Algorithm and Virus Theory of Evolution for Optimization Problems
Takuya INOUE, Yoko UWATE, Yoshifumi NISHIO,
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Abstract(in English) This paper presents the solving method of Quadratic Assignment Problems (QAPs). This method uses both Artificial Immune System (AIS) and Virus Theory of Evolution (VTE), and we call it Evolutionary Algorithm with Immune and Infection (EAII). EAII has characteristics of both AIS and VTE. We consider that EAII is effective method for QAPs. Thus, we apply EAII to the QAPs and confirm that EAII obtains more effective result than IA. Furthermore, we analyze the reason for obtaining better solution in EAII.
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Keyword(in English) Immune Algorithm / Virus Theory of Evolution / Quadratic Assignment Problem
Paper # CAS2014-72,NLP2014-66
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Committee CAS
Conference Date 2014/10/9(1days)
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Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Combination of Immune Algorithm and Virus Theory of Evolution for Optimization Problems
Sub Title (in English)
Keyword(1) Immune Algorithm
Keyword(2) Virus Theory of Evolution
Keyword(3) Quadratic Assignment Problem
1st Author's Name Takuya INOUE
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Yoko UWATE
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
3rd Author's Name Yoshifumi NISHIO
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
Date 2014-10-17
Paper # CAS2014-72,NLP2014-66
Volume (vol) vol.114
Number (no) 249
Page pp.pp.-
#Pages 5
Date of Issue