Pintea, Camelia-Mihaela
Advances in Bio-inspired Computing for Combinatorial Optimization Problems
Part I. Biological Computing and Optimization
1. Bio-inspired Computing
Camelia-Mihaela Pintea
2. Combinatorial Optimization
Camelia-Mihaela Pintea
Part II. Ant Algorithms
3. Introduction
Camelia-Mihaela Pintea
4. Local Guided Ant Search
Camelia-Mihaela Pintea
5. Sensitivity: A Metaheuristic Model
Camelia-Mihaela Pintea
Part III. Bio-inspired Multi-agent Systems
6. Stigmergic Collaborative Agents
Camelia-Mihaela Pintea
Part IV. Applications with Bio-inspired Algorithms
7. Ant-Based Algorithms for Dynamic Problems
Camelia-Mihaela Pintea
8. Agent-Based Algorithms for Diverse Problems
Camelia-Mihaela Pintea
Part V. Conclusions and Remarks
9. Conclusions and the Results Impact
Camelia-Mihaela Pintea
Keywords: Engineering, Computational Intelligence, Artificial Intelligence (incl. Robotics), Operation Research/Decision Theory
- Author(s)
- Pintea, Camelia-Mihaela
- Publisher
- Springer
- Publication year
- 2014
- Language
- en
- Edition
- 2014
- Series
- Intelligent Systems Reference Library
- Page amount
- 8 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9783642401794