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Evolutionary Scheduling

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Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	272916951 Buchausg. u.d.T.: ‡Evolutionary scheduling
ISBN	978-3-540-48582-7
Name	Dahal, Keshav P.
Name	Tan, Kay Chen
ANZEIGE DER KETTE	Tan, Kay Chen
Name	Cowling, Peter I
T I T E L	Evolutionary Scheduling
Verlagsort	Berlin ; Heidelberg
Verlag	Springer
Erscheinungsjahr	2007
Erscheinungsjahr	2007
Umfang	Online-Ressource (XI, 628 p. 198 illus. Also available online, digital)
Reihe	Studies in Computational Intelligence ; 49
Notiz / Fußnoten	Includes bibliographical references
Titelhinweis	Buchausg. u.d.T.: ‡Evolutionary scheduling
ISBN	ISBN 978-3-540-48584-1
Klassifikation	TBJ
	MAT003000
	*90-06
	68-06
	00B15
	90B35
	68M20
	90Cxx
	UYQ
	COM004000
	519
	005.1
	006.3
	510
	004
	620
	650
	TA329-348
	TA640-643
	ST 301
Kurzbeschreibung	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.
2. Kurzbeschreibung	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.
1. Schlagwortkette	Reihenfolgeproblem
	Evolutionärer Algorithmus
	Aufsatzsammlung
	Online-Publikation
1. Schlagwortkette ANZEIGE DER KETTE	Reihenfolgeproblem -- Evolutionärer Algorithmus -- Aufsatzsammlung -- Online-Publikation
2. Schlagwortkette	Reihenfolgeproblem
2. Schlagwortkette	Soft Computing
SWB-Titel-Idn	264373189
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-540-48584-1
Internetseite / Link	Volltext
Siehe auch	Cover
Siehe auch	Inhaltstext

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