Solving Optimization Problems with the Heuristic Kalman Algorithm

Language: English

Published by Springer International Publishing, Springer Nature Switzerland Mär 2025, 2025

3031524616 / 9783031524615

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This item is printed on demand - it takes 3-4 days longer - Neuware -This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems.The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic Kalman Algorithm (HKA). The main characteristic of HKA is the use of a stochastic search mechanism to solve a given optimization problem. From a computational point of view, the use of a stochastic search procedure appears essential for dealing with non-convex problems.The topics discussed in this monograph include basic definitions and concepts from the classical optimization theory, the notion of the acceptable solution, machine learning, the concept of preventive maintenance, and more.The Heuristic Kalman Algorithm discussed in this book applies to many fields such as robust structured control, electrical engineering, mechanical engineering, machine learning, reliability, and preference models. This large coverage of practical optimization problems makes this text very useful to those working on and researching systems design. The intended audience includes industrial engineers, postgraduates, and final-year undergraduates in various fields of systems design. 308 pp. Englisch.

Seller Inventory # 9783031524615

Title
Solving Optimization Problems with the Heuristic Kalman Algorithm
Author
Rosario Toscano
Publisher
Springer International Publishing, Springer Nature Switzerland Mär 2025
Publication year
2025
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031524616
ISBN 13
9783031524615
Item weight
470 grams
Dimensions
235x155x17 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

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BuchWeltWeit Ludwig Meier e.K.

Germany