Synopsis
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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