Evolutionary Algorithms in Management Applications - Tapa blanda

Sinopsis

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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