Treffer: Applications of evolutionary algorithms on biomedical systems.

Title:
Applications of evolutionary algorithms on biomedical systems.
Contributors:
Tse, Sui Man., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering.
Publication Year:
2007
Collection:
The Chinese University of Hong Kong: CUHK Digital Repository / 香港中文大學數碼典藏
Document Type:
Fachzeitschrift text
File Description:
print; xv, 104 leaves : ill.; 30 cm.
Language:
English
Chinese
Rights:
Use of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Accession Number:
edsbas.AC65AFBB
Database:
BASE

Weitere Informationen

Tse, Sui Man. ; Thesis (M.Phil.)--Chinese University of Hong Kong, 2007. ; Includes bibliographical references (leaves 95-104). ; Abstracts in English and Chinese. ; Abstract --- p.i ; Acknowledgement --- p.v ; Chapter 1 --- Introduction --- p.1 ; Chapter 1.1 --- Motivation --- p.1 ; Chapter 1.1.1 --- Basic Concepts and Definitions --- p.2 ; Chapter 1.2 --- Evolutionary Algorithms --- p.5 ; Chapter 1.2.1 --- Chromosome Encoding --- p.6 ; Chapter 1.2.2 --- Selection --- p.7 ; Chapter 1.2.3 --- Crossover --- p.9 ; Chapter 1.2.4 --- Mutation --- p.10 ; Chapter 1.2.5 --- Elitism --- p.11 ; Chapter 1.2.6 --- Niching --- p.11 ; Chapter 1.2.7 --- Population Manipulation --- p.13 ; Chapter 1.2.8 --- Building Blocks --- p.13 ; Chapter 1.2.9 --- Termination Conditions --- p.14 ; Chapter 1.2.10 --- Co-evolution --- p.14 ; Chapter 1.3 --- Local Search --- p.15 ; Chapter 1.4 --- Memetic Algorithms --- p.16 ; Chapter 1.5 --- Objective --- p.17 ; Chapter 1.6 --- Summary --- p.17 ; Chapter 2 --- Background --- p.18 ; Chapter 2.1 --- Multiple Drugs Tumor Chemotherapy --- p.18 ; Chapter 2.2 --- Bioinformatics --- p.22 ; Chapter 2.2.1 --- Basics of Bioinformatics --- p.24 ; Chapter 2.2.2 --- Applications on Biomedical Systems --- p.26 ; Chapter 3 --- A New Drug Administration Dynamic Model --- p.29 ; Chapter 3.1 --- Three Drugs Mathematical Model --- p.31 ; Chapter 3.1.1 --- Rate of Change of Different Subpopulations --- p.32 ; Chapter 3.1.2 --- Rate of Change of Different Drug Concen- trations --- p.35 ; Chapter 3.1.3 --- Toxicity Effects --- p.35 ; Chapter 3.1.4 --- Summary --- p.36 ; Chapter 4 --- Memetic Algorithm - Iterative Dynamic Program- ming (MA-IDP) --- p.38 ; Chapter 4.1 --- Problem Formulation: Optimal Control Problem (OCP) for Mutlidrug Optimization --- p.38 ; Chapter 4.2 --- Proposed Memetic Optimization Algorithm --- p.40 ; Chapter 4.2.1 --- Iterative Dynamic Programming (IDP) . . --- p.40 ; Chapter 4.2.2 --- Adaptive Elitist-population-based Genetic Algorithm (AEGA) --- p.44 ; Chapter 4.2.3 --- Memetic Algorithm 一 ...