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ISBN: 9783642080173

Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex… More...

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Evolutionary Scheduling - Dahal, Keshav|Tan, Kay Chen|Cowling, Peter I.
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Evolutionary Scheduling - Paperback

2010, ISBN: 3642080170

[EAN: 9783642080173], Neubuch, [PU: Springer Berlin Heidelberg], COMPUTATIONALINTELLIGENCE EVOLUTION EVOLUTIONARYALGORITHMS FUZZY OPERATIONSRESEARCH ALGORITHM ARTIFICIALINTELLIGENCE EVOLU… More...

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Evolutionary Scheduling - Dahal, Keshav Tan, Kay Chen Cowling, Peter I.
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Dahal, Keshav Tan, Kay Chen Cowling, Peter I.:
Evolutionary Scheduling - First edition

2010

ISBN: 9783642080173

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Evolutionary Scheduling - Paperback

2007, ISBN: 3642080170

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Evolutionary Scheduling - Keshav Dahal; Kay Chen Tan; Peter I. Cowling
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Keshav Dahal; Kay Chen Tan; Peter I. Cowling:
Evolutionary Scheduling - Paperback

2010, ISBN: 9783642080173

Buch, Softcover, Softcover reprint of hardcover 1st ed. 2007, [PU: Springer Berlin], Springer Berlin, 2010

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Bibliographic data of the best matching book

Details of the book
Evolutionary Scheduling
Author:
Title:
ISBN:

9783642080173


Evolutionary scheduling is a vital research domain at the interface of artificial intelligence and operational research. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling. It 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.

Details of the book - Evolutionary Scheduling


EAN (ISBN-13): 9783642080173
ISBN (ISBN-10): 3642080170
Hardcover
Paperback
Publishing year: 2010
Publisher: Springer Berlin
640 Pages
Weight: 0,953 kg
Language: eng/Englisch

Book in our database since 2012-02-22T10:13:18+00:00 (London)
Detail page last modified on 2023-01-26T21:51:02+00:00 (London)
ISBN/EAN: 9783642080173

ISBN - alternate spelling:
3-642-08017-0, 978-3-642-08017-3
Alternate spelling and related search-keywords:
Book author: peter chen
Book title: scheduling

Information from Publisher

Author: Keshav Dahal; Kay Chen Tan; Peter I. Cowling
Title: Studies in Computational Intelligence; Evolutionary Scheduling
Publisher: Springer; Springer Berlin
628 Pages
Publishing year: 2010-11-30
Berlin; Heidelberg; DE
Printed / Made in
Language: English
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XI, 628 p.

BC; Hardcover, Softcover / 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; Artificial Intelligence; Mathematical and Computational Engineering Applications; 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

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