Principles in Noisy Optimization Applied to Multi-agent Coordination /

• Main Authors: Rakshit, Pratyusha (Author, http://id.loc.gov/vocabulary/relators/aut), Konar, Amit (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Cognitive Intelligence and Robotics,
• Subjects: Artificial intelligence.; Mathematical optimization.; Computers.; Artificial Intelligence.; Optimization.; Theory of Computation.

Noisy optimization is a topic of growing interest for researchers working on mainstream optimization problems. Although several techniques for dealing with stochastic noise in optimization problems are covered in journals and conference proceedings, today there are virtually no books that approach n...

Table of Contents:

• Chapter 1. Foundations in Evolutionary Optimization Algorithms
• Chapter 2. Multi-agent Coordination
• Chapter 3. Evolutionary Algorithms in Presence of Noise
• Chapter 4. Learning based Noisy Optimization
• Chapter 5. Noisy Coordination in Multi-objective Settings
• Chapter 6. Integrating Principles of Noisy Optimization with Evolutionary Optimization
• Chapter 7. Conclusion and Future Direction.