Evolutionary Algorithms in Management Applications

Evolutionary Algorithms (EA) are powerful search and optimisation techniques inspired by the mechanisms of natural evolution. They imitate, on an abstract level, biological principles such as a population based approach, the inheritance of information, the variation of information via crossover/muta...

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Bibliographic Details
Other Authors: Biethahn, Jörg (Editor), Nissen, Volker (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 1995, 1995
Edition:1st ed. 1995
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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