Overview

This text is concerned with the application of Evolutionary Algorithms (EA) in the domain of management. EA are powerful and broadly applicable search and optimization techniques based on principles from evolution theory, with Genetic Algorithms being the best-known class. The first part of the volume introduces the reader to EA and contains a discussion of the current state regarding management applications with many references. The other parts of the book present papers on innovative management applications of EA; these range from examples in industry, financial services, trade, and traffic management to planning in education, and demonstrating the versatility and power of EA.

Full Product Details

Author:   Jorg Biethahn ,  Volker Nissen
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   illustrated edition
Weight:   0.760kg
ISBN:  

9783540603825

ISBN 10:   3540603824
Pages:   379
Publication Date:   01 November 1995
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

1 Foundations.- An Introduction to Evolutionary Algorithms.- An Overview of Evolutionary Algorithms in Management Applications.- 2 Applications in Industry.- A Genetic Algorithm Applied to Resource Management in Production Systems.- A Case Study of Operational Just-In-Time Scheduling Using Genetic Algorithms.- An Evolutionary Algorithm for Discovering Manufacturing Control Strategies.- Determining the Optimal Network Partition and Kanban Allocation in JIT Production Lines.- On Using Penalty Functions and Multicriteria Optimisation Techniques in Facility Layout.- Tapping the Full Power of Genetic Algorithm through Suitable Representation and Local Optimization: Application to Bin Packing.- A Hybrid Genetic Algorithm for the Two-Dimensional Guillotine Cutting Problem.- 3 Applications in Trade.- Facility Management of Distribution Centres for Vegetables and Fruits.- Integrating Machine Learning and Simulated Breeding Techniques to Analyze the Characteristics of Consumer Goods.- Adaptive Behaviour in an Oligopoly.- Determining a Good Inventory Policy with a Genetic Algorithm.- 4 Applications in Financial Services.- Genetic Algorithms and the Management of Exchange Rate Risk.- Evolving Decision Support Models for Credit Control.- Genetic Classification Trees.- A Model of Stock Market Participants.- 5 Applications in Traffic Management.- Using Evolutionary Programming to Control Metering Rates on Freeway Ramps.- Application of Genetic Algorithms for Solving Problems Related to Free Routing for Aircraft.- Genetic Algorithm with Redundancies for the Vehicle Scheduling Problem.- 6 Planning in Education.- Course Scheduling by Genetic Algorithms.- About the Authors.

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