search query: @supervisor Ovaska, Seppo J. / total: 9
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Author: | Wang, Xiaolei |
Title: | Artificial Immune Optimization and Its Application in Industrial Electronics |
Keinotekoisiin immuunijärjestelmiin perustuva optimointi ja sen sovellus teollisuuselektroniikassa | |
Publication type: | Master's thesis |
Publication year: | 2005 |
Pages: | 82 Language: eng |
Department/School: | Sähkö- ja tietoliikennetekniikan osasto |
Main subject: | Tehoelektroniikka (S-81) |
Supervisor: | Ovaska, Seppo J. |
Instructor: | Gao, Xiao-Zhi |
OEVS: | Electronic archive copy is available via Aalto Thesis Database.
Instructions Reading digital theses in the closed network of the Aalto University Harald Herlin Learning CentreIn the closed network of Learning Centre you can read digital and digitized theses not available in the open network. The Learning Centre contact details and opening hours: https://learningcentre.aalto.fi/en/harald-herlin-learning-centre/ You can read theses on the Learning Centre customer computers, which are available on all floors.
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Location: | P1 Ark S80 | Archive |
Keywords: | natural immune systems artificial immune system (AIS) artificial immune optimization (AIO) methods clonal selection algorithm (CSA) genetic algorithms (GA) function optimization passive filters power factor (PF) biologiset immuunijärjestelmät keinotekoinen immuunijärjestelmä keinotekoisiin immuunijärjestelmiin perustuva optimointi kloonausvalinta-algoritmi geneettiset algoritmit funktion optimointi passiiviset suodattimet tehokerroin |
Abstract (eng): | As we know that natural immune systems are complex and enormous self-defence systems with the distinguished capabilities of learning, memory, and adaptation. Artificial Immune System (AIS), based on the natural immune systems, can be considered as an emerging kind of biologically inspired computational intelligence methods, which have attracted considerable research interest from different communities over the past decade. Artificial Immune Optimization (AIO) methods are an important partner of the AIS. They have been successfully applied to handle numerous challenging optimization problems with superior performances over classical approaches. In this Master's thesis, the essential natural immune principles of circulatory, regulatory, and memory mechanisms are first introduced. Next, we present a few typical AIS models and algorithms. In addition, the recent advances of the AIO methods with their applications are discussed. We also demonstrate the application of the clonal selection algorithm in nonlinear function optimization and LC passive power filter optimal design. Computer simulations are made to verify its optimization effectiveness. |
ED: | 2005-03-23 |
INSSI record number: 28189
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