Nature Inspired Cooperative Strategies for Optimization (NICSO 2013) (Record no. 92716)

000 -LEADER
fixed length control field 05024nam a22004695i 4500
001 - CONTROL NUMBER
control field 978-3-319-01692-4
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220082509.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 130812s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319016924
-- 978-3-319-01692-4
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-01692-4
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q342
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Terrazas, German.
Relator term editor.
245 10 - TITLE STATEMENT
Title Nature Inspired Cooperative Strategies for Optimization (NICSO 2013)
Medium [electronic resource] :
Remainder of title Learning, Optimization and Interdisciplinary Applications /
Statement of responsibility, etc edited by German Terrazas, Fernando E. B. Otero, Antonio D. Masegosa.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 355 p. 82 illus., 12 illus. in color.
Other physical details online resource.
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-- computer
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-- online resource
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-- text file
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490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/sequential designation 512
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Extending the ABC-Miner Bayesian Classification Algorithm -- A Multiple Pheromone Ant Clustering Algorithm -- An Island Memetic Differential Evolution Algorithm for the Feature Selection Problem -- Using a Scouting Predator-Prey Optimizer to Train Support Vector Machines with non PSD Kernels -- Response Surfaces with Discounted Information for Global Optima Tracking in Dynamic Environments -- Fitness based Self Adaptive Differential -- Adaptation schemes and dynamic optimization problems: a basic study on the Adaptive Hill Climbing Memetic Algorithm -- Using base position errors in an entropy-based evaluation function for the study of genetic code adaptability -- An Adaptive Multi-Crossover Population Algorithm for Solving Routing Problems -- Corner Based Many-Objective Optimization -- Escaping Local Optima via Parallelization and -- An Improved Genetic Based Keyword Extraction Technique -- Part-of-Speech Tagging Using Evolutionary Computation -- A Cooperative approach using ants and bees for the graph coloring problem -- Artificial Bee Colony Training of Neural Networks -- Nonlinar optimization in landscapes with planar regions -- Optimizing Neighbourhood Distances for a Variant of Fully-Informed Particle Swarm Algorithm -- Meta Morphic Particle Swarm Optimization -- Empirical study of computational intelligence strategies for biochemical systems modelling -- Metachronal waves in Cellular Automata: Cilia-like manipulation in actuator arrays -- Team of A-Teams Approach for Vehicle Routing Problem with Time Windows -- Self-adaptable Group Formation of Reconfigurable Agents in Dynamic Environments -- A Choice Function Hyper-Heuristic for the Winner Determination Problem -- Automatic Generation of Heuristics for Constraint Satisfaction Problems -- Branching Schemes and Variable Ordering Heuristics for Constraint Satisfaction Problems: Is there Something to Learn -- Nash Equilibria Detection for Discrete-time Generalized Cournot Dynamic Oligopolies.
520 ## - SUMMARY, ETC.
Summary, etc Biological and other natural processes have always been a source of inspiration for computer science and information technology. Many emerging problem solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation. This book is a collection of research works presented in the VI International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO) held in Canterbury, UK. Previous editions of NICSO were held in Granada, Spain (2006 & 2010), Acireale, Italy (2007), Tenerife, Spain (2008), and Cluj-Napoca, Romania (2011). NICSO 2013 and this book provides a place where state-of-the-art research, latest ideas and emerging areas of nature inspired cooperative strategies for problem solving are vigorously discussed and exchanged among the scientific community. The breadth and variety of articles in this book report on nature inspired methods and applications such as Swarm Intelligence, Hyper-heuristics, Evolutionary Algorithms, Cellular Automata, Artificial Bee Colony, Dynamic Optimization, Support Vector Machines, Multi-Agent Systems, Ant Clustering, Evolutionary Design Optimisation, Game Theory and other several Cooperation Models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Otero, Fernando E. B.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Masegosa, Antonio D.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783319016917
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 512
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-01692-4
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-- ZDB-2-ENG

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