Description: Principles in Noisy Optimization : Applied to Multi-agent Coordination, Hardcover by Rakshit, Pratyusha; Konar, Amit, ISBN 9811086419, ISBN-13 9789811086410, Brand New, Free P&P in the UK
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.
Beginning with the foundations of evolutionary optimization, th subsequently explores the principles of noisy optimization in single and multi-objective settings, and presents detailed illustrations of the principles developed for application in real-world multi-agent coordination problems. Special emphasis is given to the design of intelligent algorithms for noisy optimization in real-time applications. Th is unique in terms of its content, writing style and above all its simplicity, which will appeal to readers with a broad range of backgrounds.
Th is divided into 7 chapters, the first of which provides an introduction to Swarm and Evolutionary Optimization algorithms. Chapter 2 includes a thorough review of agent architectures for multi-agent coordination. In turn, Chapter 3 provides an extensive review of noisy optimization, while Chapter 4 addresses issues of noise handling in the context of single-objective optimization problems. An illustrative case study on multi-robot path-planning in the presence of measurement noise is also highlighted in this chapter. Chapter 5 deals with noisy multi-objective optimization and includes a case study on noisy multi-robot box-pushing. In Chapter 6, the authors examine the scope of various algorithms in noisy optimization problems. Lastly, Chapter 7 summarizes the main results obtained in the previous chapters and elaborates on th’s potential with regard to real-world noisy optimization problems.
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Location: Castle Donington
End Time: 2024-12-04T04:39:09.000Z
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Book Title: Principles in Noisy Optimization : Applied to Multi-agent Coordin
Number of Pages: 367 Pages
Publication Name: Principles in Noisy Optimization: Applied to Multi-Agent Coordination
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Computer Science, Mathematics
Publication Year: 2018
Type: Textbook
Item Weight: 740 g
Author: Pratyusha Rakshit, Amit Konar
Item Width: 155 mm
Series: Cognitive Intelligence and Robotics
Format: Hardcover