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Handbook of research on artificial immune systems and natural computing [electronic resource] : applying complex adaptive technologies / Hongwei Mo, [editor].
Format
Book
Language
English
Published/Created
Hershey, Pa. : IGI Global, c2009.
Description
electronic texts (xxvi, 605 p. : ill.) : digital files.
Details
Subject(s)
Natural computation
—
Handbooks, manuals, etc
[Browse]
Immunoinformatics
—
Handbooks, manuals, etc
[Browse]
Immunology
—
Computer simulation
—
Handbooks, manuals, etc
[Browse]
Related name
Mo, Hongwei, 1973-
[Browse]
Summary note
Today, nature is used as a source of inspiration for the development of new techniques for solving complex problems in various domains, from engineering to biology, with innovative adaptations under investigation. This work provides the latest empirical research findings, theoretical frameworks, and technologies of natural computing and artificial immune systems (AIS). A reference source for professionals, researchers, and academicians within the AIS and natural computing fields, this comprehensive collection written by leading international experts proposes new ideas, methods, and theories to solve problems of engineering and science.
Notes
Description based upon print version of record.
Bibliographic references
Includes bibliographical references (p. 556-592) and index.
System details
Mode of access: World Wide Web.
Source of description
Title from PDF t.p. (viewed on June 1, 2010).
Language note
English
Contents
Multi-objective optimization and artificial immune systems : a review / Fabio Freschi, Carlos A. Coello Coello, Maurizio Repetto
Artificial immune systems as a bio-inspired optimization technique and its engineering applications / Jun Chen, Mahdi Mahfouf
An artificial immune dynamical system for optimization / Licheng Jiao, Maoguo Gong, Wenping Ma
An immune inspired algorithm for learning strategies in a pursuit-evasion game / Magorzata Lucińska, Sławomir T. Wierzchoń
Applications of artificial immune systems in agents / Luis Fernando Niño Vasquez ... [et al.]
An immune algorithm based robust scheduling methods / Xingquan Zuo, Hongwei Mo
Artificial immune system in the management of complex small scale cogeneration systems / Fabio Freschi, Maurizio Repetto
Applying the immunological network concept to clustering document collections / Krzysztof Ciesielski, Mieczysław A. Kłopotek, Sławomir T. Wierzchoń
Feature selection based on clonal selection algorithm : evaluation and application / Xiangrong Zhang, Fang Liu
Immune based bio-network architecture and its simulation platform for future Internet / Yong-Sheng Ding, Xiang-Feng Zhang, Li-Hong Ren
A static web immune system and its robustness analysis / Tao Gong
Immunocomputing for spatio-temporal forecast / Alexander O. Tarakanov
Research of immune controllers / Fu Dongmei
Immune programming applications in image segmentation / Xiaojun Bi
A hardware immune system for MC8051 IP core / Xin Wang ... [et al.]
On foundations of evolutionary computation : an evolutionary automata approach / Mark Burgin, Eugene Eberbach
Evolutionary path planning for robot navigation under varying terrain conditions / Terrence P. Fries
Ant colony optimization for use in content based image retrieval / Konstantinos Konstantinidis, Georgios Ch. Sirakoulis, Ioannis Andreadis
Ant colonies and data mining / Miroslav Bursa, Lenka Lhotska
Artificial life optimization algorithm and applications / Bo-Suk Yang
Optimizing society : the social impact theory based optimizer / Martin Macaš, Lenka Lhotská
Ethology-based approximate adaptive learning : a near set approach / James F. Peters, Shabnam Shahfar
Nature inspired parallel computing / Dingju Zhu
Fuzzy chaotic neural networks / Tang Mo ... [et al.].
Show 21 more Contents items
Other format(s)
Also available in print.
ISBN
9781605663111 (ebook)
OCLC
707617541
Doi
10.4018/978-1-60566-310-4
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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