Springer, 2018. — 379 p. — (Cognitive Intelligence and Robotics). — ISBN: 9811086419.
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 noisy optimization from a layman’s perspective; this book remedies that gap.
Foundation in Evolutionary Optimization
Agents and Multi-agent Coordination
Recent Advances in Evolutionary Optimization in Noisy Environment—A Comprehensive Survey
Learning Automata and Niching-Induced Noisy Optimization for Multi-robot Path-Planning
Noisy Multi-objective Optimization for Multi-robot Box-Pushing Application
Enhancing Noise-Tolerant Behavior of Traditional Evolutionary and Swarm Algorithms
Conclusions and Future Directions