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Evolutionary Scheduling

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Cover of 'Evolutionary Scheduling'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Memetic Algorithms in Planning, Scheduling, and Timetabling
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    Chapter 2 Landscapes, Embedded Paths and Evolutionary Scheduling
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    Chapter 3 Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes
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    Chapter 4 Designing Dispatching Rules to Minimize Total Tardiness
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    Chapter 5 A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling
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    Chapter 6 Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study
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    Chapter 7 An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem
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    Chapter 8 Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem
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    Chapter 9 Metaheuristics for University Course Timetabling
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    Chapter 10 Optimum Oil Production Planning using an Evolutionary Approach
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    Chapter 11 A Hybrid Evolutionary Algorithm for Service Restoration in Power Distribution Systems
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    Chapter 12 Evolutionary Scheduling
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    Chapter 13 Evolutionary Generator Maintenance Scheduling in Power Systems
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    Chapter 14 Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network
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    Chapter 15 A Multi-Objective Evolutionary Algorithm for Channel Routing Problems
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    Chapter 16 Simultaneous Planning and Scheduling for Multi-Autonomous Vehicles
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    Chapter 17 Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA's
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    Chapter 18 A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities
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    Chapter 19 Evolutionary Optimization of Business Process Designs
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    Chapter 20 Using a Large Set of Low Level Heuristics in a Hyperheuristic Approach to Personnel Scheduling
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    Chapter 21 A Genetic-Algorithm-Based Reconfigurable Scheduler
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    Chapter 22 Evolutionary Algorithm for an Inventory Location Problem
Attention for Chapter 1: Memetic Algorithms in Planning, Scheduling, and Timetabling
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Chapter title
Memetic Algorithms in Planning, Scheduling, and Timetabling
Chapter number 1
Book title
Evolutionary Scheduling
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-48584-1_1
Book ISBNs
978-3-54-048582-7, 978-3-54-048584-1
Authors

Carlos Cotta, Antonio J. Fernàndez, Cotta, Carlos, Fernàndez, Antonio J.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 25%
Student > Master 4 14%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Professor > Associate Professor 2 7%
Other 6 21%
Unknown 4 14%
Readers by discipline Count As %
Computer Science 13 46%
Engineering 8 29%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 4 14%