Evolutionary Scheduling (Record no. 20594)

MARC details
000 -LEADER
fixed length control field 04901nam a22004935i 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 20170628034607.0
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 TA329-348
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA640-643
072 #7 - SUBJECT CATEGORY CODE
Subject category code TBJ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT003000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dahal, Keshav P.
Relator term editor.
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 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2007.
300 ## - PHYSICAL DESCRIPTION
Extent XI, 628 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
International Standard Serial Number 1860-949X ;
Volume number/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 as entry element Engineering.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering mathematics.
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 Appl.Mathematics/Computational Methods of Engineering.
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 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
Display text Printed edition:
International Standard Book Number 9783540485827
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Studies in Computational Intelligence,
-- 1860-949X ;
Volume number/sequential designation 49
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-540-48584-1">http://dx.doi.org/10.1007/978-3-540-48584-1</a>
912 ## -
-- ZDB-2-ENG
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-43773 28/06/2017 28/06/2017 E-Book

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