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Evolutionary Scheduling (Record no. 509765)

000 -LEADER
fixed length control field 04987nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-540-48584-1
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20161121231200.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2007 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540485841
-- 978-3-540-48584-1
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-540-48584-1
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
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
245 10 - TITLE STATEMENT
Title Evolutionary Scheduling
Medium [electronic resource] /
Statement of responsibility, etc. edited by Keshav P. Dahal, Kay Chen Tan, Peter I. Cowling.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Berlin, Heidelberg :
Name of producer, publisher, distributor, manufacturer Springer Berlin Heidelberg,
Date of production, publication, distribution, manufacture, or copyright notice 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 628 p.
Other physical details online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume/sequential designation 49
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Methodology -- Memetic Algorithms in Planning, Scheduling, and Timetabling -- Landscapes, Embedded Paths and Evolutionary Scheduling -- Classical and Non-Classical Models of Production Scheduling -- Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes -- Designing Dispatching Rules to Minimize Total Tardiness -- A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling -- Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study -- An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem -- Timetabling -- Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem -- Metaheuristics for University Course Timetabling -- Energy Applications -- Optimum Oil Production Planning using an Evolutionary Approach -- A Hybrid Evolutionary Algorithm for Service Restoration in Power Distribution Systems -- Particle Swarm Optimisation for Operational Planning: Unit Commitment and Economic Dispatch -- Evolutionary Generator Maintenance Scheduling in Power Systems -- Networks -- Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network -- A Multi-Objective Evolutionary Algorithm for Channel Routing Problems -- Transport -- Simultaneous Planning and Scheduling for Multi-Autonomous Vehicles -- Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA's -- A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities -- Business -- Evolutionary Optimization of Business Process Designs -- Using a Large Set of Low Level Heuristics in a Hyperheuristic Approach to Personnel Scheduling -- A Genetic-Algorithm-Based Reconfigurable Scheduler -- Evolutionary Algorithm for an Inventory Location Problem.
520 ## - SUMMARY, ETC.
Summary, etc. Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the advent of computation intelligence, there is renewed interest in solving scheduling problems using evolutionary computational techniques. These techniques, which include genetic algorithms, genetic programming, evolutionary strategies, memetic algorithms, particle swarm optimization, ant colony systems, etc, are derived from biologically inspired concepts and are well-suited to solve scheduling problems since they are highly scalable and flexible in terms of handling constraints and multiple objectives. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling, and demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems. The intended readers of this book are engineers, researchers, practitioners, senior undergraduates, and graduate students who are interested in the field of evolutionary scheduling.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Applied mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering mathematics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Appl.Mathematics/Computational Methods of Engineering.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Dahal, Keshav P.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tan, Kay Chen.
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Cowling, Peter I.
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
Relationship information Printed edition:
International Standard Book Number 9783540485827
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume/sequential designation 49
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-540-48584-1
912 ## -
-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2016-11-21 EBK10052 2016-11-21 2016-11-21 E books

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