Heuristic Search Methods and Dynamics for Multi - Body Gravitational Systems
Category: eBooks
- views: 183
- date: 17 July 2026
- posted by: BeMyLove
Heuristic Search Methods and Dynamics for Multi - Body Gravitational Systems | 147.02 MB
Title: Heuristic Search Methods and Dynamics for Multi - Body Gravitational Systems
Author: Jacob Dahlke, Robert A. Bettinger, Clint Spesard, Bruce Cox
Category: Nonfiction, Health & Well Being, Psychology, Counselling
Language: English | 362 Pages | ISBN: 3032203465
Description:
This book provides a comprehensive introduction to, and application of, heuristic search methods, specifically the genetic algorithm, for use with mission sets operating in multi-body gravitational systems. Detailed dynamical and mission models, as well as accompanying space-focused scenarios will allow the reader to implement different forms of the genetic algorithm to find Pareto optimal architectures within a multi-objective optimization problem. This book covers the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and delivers the first treatment of a scalable genetic algorithm employing a categorical chromosome form in book format. Although the book focuses on the space situational awareness (SSA) mission with space-based and lunar surface architectures, the heuristic techniques contained herein can be applied to other mission sets, such as positioning, navigation, and timing (PNT), communications, and space logistics.
DOWNLOAD:
https://rapidgator.net/file/a6f37efe98ed743eb52ee09be91f7fc1/978-3-032-20347-2.rar
https://nitroflare.com/view/7544EBC684186EC/978-3-032-20347-2.rar
This book provides a comprehensive introduction to, and application of, heuristic search methods, specifically the genetic algorithm, for use with mission sets operating in multi-body gravitational systems. Detailed dynamical and mission models, as well as accompanying space-focused scenarios will allow the reader to implement different forms of the genetic algorithm to find Pareto optimal architectures within a multi-objective optimization problem. This book covers the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and delivers the first treatment of a scalable genetic algorithm employing a categorical chromosome form in book format. Although the book focuses on the space situational awareness (SSA) mission with space-based and lunar surface architectures, the heuristic techniques contained herein can be applied to other mission sets, such as positioning, navigation, and timing (PNT), communications, and space logistics.
DOWNLOAD:
https://rapidgator.net/file/a6f37efe98ed743eb52ee09be91f7fc1/978-3-032-20347-2.rar
https://nitroflare.com/view/7544EBC684186EC/978-3-032-20347-2.rar
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