Heuristic Search Methods and Dynamics for Multi-Body Gravitational Systems: With Mission Applications for Cislunar Space, the Moon, and Mars
暫譯: 多體重力系統的啟發式搜尋方法與動態：針對月球、火星及月球間空間任務的應用

Dahlke, Jacob, Bettinger, Robert A., Spesard, Clint

Heuristic Search Methods and Dynamics for Multi-Body Gravitational Systems: With Mission Applications for Cislunar Space, the Moon, and Mars
  • 出版商: Springer
  • 出版日期: 2026-07-17
  • 售價: $7,430
  • 貴賓價: 9.5 折 $7,058
  • 語言: 英文
  • 頁數: 350
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032203465
  • ISBN-13: 9783032203465
  • 相關分類: 控制系統 Control-systems

    • 海外代購書籍(需單獨結帳)

商品描述

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.

This book gives the reader a singular reference for space domain architecture analysis and optimal search as the focus of mission development and planning continues to expand into cislunar space, low lunar orbit, and the lunar surface. It is meant for the beginning researcher and expert astronautical engineer alike, with detailed mathematical algorithms and application scenarios allowing for a wide range of skill-sets and acclimation to heuristic search methods to use genetic algorithms in order to solve complex multi-objective optimization problems. The book provides a go-to source for students, teachers, engineers, and mission planners for investigating space system architecture design for space-based and lunar surface applications in the Earth-Moon and Mars-Phobos-Deimos systems, and anywhere else in the Solar System required for a given mission.

商品描述(中文翻譯)

本書提供了啟發式搜尋方法的全面介紹及應用，特別是遺傳演算法，適用於在多體重力系統中運行的任務集。詳細的動力學和任務模型，以及隨附的太空專注場景，將使讀者能夠實施不同形式的遺傳演算法，以在多目標優化問題中找到帕累托最優架構。本書涵蓋了非支配排序遺傳演算法 II（NSGA-II），並首次以書籍格式介紹了一種可擴展的遺傳演算法，採用類別染色體形式。雖然本書專注於太空情境感知（SSA）任務，涉及基於太空和月球表面的架構，但此處包含的啟發式技術也可應用於其他任務集，例如定位、導航和定時（PNT）、通訊和太空後勤。

本書為讀者提供了一個獨特的參考資料，用於太空領域架構分析和最佳搜尋，因為任務開發和規劃的重點持續擴展到地月空間、低月球軌道和月球表面。它適合初學研究者和專業航天工程師，詳細的數學演算法和應用場景使各種技能水平的讀者能夠適應啟發式搜尋方法，利用遺傳演算法解決複雜的多目標優化問題。本書為學生、教師、工程師和任務規劃者提供了一個可靠的資源，以調查地月系統和火星-福波斯-德伊摩斯系統中基於太空和月球表面應用的太空系統架構設計，以及在太陽系中任何其他需要的任務。

作者簡介

Dr. Jacob Dahlke is an astronautical engineer and attained his doctorate at the Air Force Institute of Technology in 2024, where he specialized in multi-body dynamics and the application of genetic algorithms to determine optimal architectures for space-based space situational awareness (SSA) sensors in cislunar space.

Dr. Robert Bettinger is an Associate Professor of Aerospace Engineering at the Air Force Institute of Technology. He serves as the Curriculum Chair of the Astronautical Engineering program and teaches courses in multi-body gravitational dynamics, spacecraft survivability, atmospheric reentry, and space law/policy.

Mr. Clint Spesard is an astronautical engineer and attained his Master of Science at the Air Force Institute of Technology in 2024, where he studied multi-body dynamics and the application of genetic algorithms to determine optimal architectures for lunar surface sensors to conduct cislunar SSA.

Dr. Bruce Cox is an Associate Professor of Data Science at the Air Force Institute of Technology. His research focuses, in part, on developing and utilizing heuristic search techniques, deterministic optimization, and synergistic pipelines of machine learning techniques to transform data into information.

作者簡介(中文翻譯)

德克·雅各布·達爾克博士是一位航天工程師，於2024年在空軍科技學院獲得博士學位，專攻多體動力學及基因演算法的應用，以確定在月球軌道空間中用於太空情境感知（SSA）傳感器的最佳架構。

羅伯特·貝廷格博士是空軍科技學院的航空工程副教授。他擔任航天工程課程的課程主任，教授多體重力動力學、太空船生存能力、大氣再入及太空法/政策等課程。

克林特·斯佩薩德先生是一位航天工程師，於2024年在空軍科技學院獲得科學碩士學位，研究多體動力學及基因演算法的應用，以確定最佳架構的月球表面傳感器，以進行月球軌道的SSA。

布魯斯·考克斯博士是空軍科技學院的數據科學副教授。他的研究部分集中在開發和利用啟發式搜索技術、確定性優化以及機器學習技術的協同管道，以將數據轉化為信息。

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