Search Methodologies Introductory Tutorials in Optimization and Decision Support Techniques /
Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made...
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| Format: | Electronic eBook |
| Language: | English |
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Boston, MA :
Springer US,
2005.
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Classical Techniques
- Integer Programming
- Genetic Algorithms
- Genetic Programming
- Tabu Search
- Simulated Annealing
- Variable Neighborhood Search
- Constraint Programming
- Multi-Objective Optimization
- Complexity Theory and the No Free Lunch Theorem
- Machine Learning
- Artificial Immune Systems
- Swarm Intelligence
- Fuzzy Reasoning
- Rough Set Based Decision Support
- Hyper-Heuristics
- Approximation Algorithms
- Fitness Landscapes.