Adaptive Search and the Management of Logistic Systems: Base Models for Learning Agents / Edition 1

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The management problems addressed in Adaptive Search and the Managemen t of Logistic Systems stem from the recent changes in the logistics se ctor. Global competition and increasing consumer expectations are forc ing industrial enterprises to reorganize their business processes to s upport better and more cost-efficient services. Quick and precise cust omer delivery processes have been recognized as the key to significant savings and growth for a company. In seeking solutions to the related problems of planning and control in today's logistic activities, the book is divided into two parts. Part I lays down the fundamentals of e volutionary adaptive systems before an architectural model for adaptiv e agents is developed. Part II is devoted to applications of these ada ptive agents. By focusing on elementary yet complex problems, it is ho ped to glean sufficient details of the real world.

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Table of Contents

Preface. Acknowledgments. Part I: Fundamentals of Evolutionary Adaptive Systems. 1. From Artificial to Computational Intelligence. 2. Principles of Systems. 3. Genetic Algorithms. 4. Adaptation to Static Environments. 5. Adaptive Agents. 6. Problem Representation in Logistics Systems. 7. Adaptive Scheduling. 8. Towards Real World Scheduling Systems. 9. Adaptive Agents at Work. Epilogue. References. Index.

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