Evolutionary Scheduling - neues Buch

EAN (ISBN-13): 9783540485841
Erscheinungsjahr: 2007
Herausgeber: Springer Berlin Heidelberg

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ISBN/EAN: 9783540485841

ISBN - alternative Schreibweisen:
978-3-540-48584-1
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: jean thoma
Titel des Buches: scheduling

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Daten vom Verlag:

Autor/in: Keshav Dahal; Kay Chen Tan; Peter I. Cowling
Titel: Studies in Computational Intelligence; Evolutionary Scheduling
Verlag: Springer; Springer Berlin
628 Seiten
Erscheinungsjahr: 2007-04-25
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XI, 628 p.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Computational Intelligence; Evolution; Evolutionary Algorithms; Fuzzy; Operations Research; algorithm; artificial intelligence; evolutionary algorithm; evolutionary strategies; genetic algorithms; heuristics; intelligence; metaheuristic; optimization; programming; C; Artificial Intelligence; Mathematical and Computational Engineering Applications; Engineering; Mathematik für Ingenieure; BB

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 foran Inventory Location Problem.
Demonstrate the applicability of evolutionary computational techniques to solve scheduling problems