購物比價找書網找車網
FindBook  
 有 1 項符合

Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems

的圖書
Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems

作者:Khamis 
出版社:Manning Publications
出版日期:2024-09-10
語言:英文   規格:平裝 / 350頁 / 23.5 x 18.75 x 2.24 cm / 普通級/ 初版
圖書選購
型式價格供應商所屬目錄
 
$ 3849
博客來 博客來
人工智慧
圖書介紹 - 資料來源:博客來   評分:
圖書名稱:Optimization Algorithms: AI Techniques for Design, Planning, and Control Problems

內容簡介

Solve design, planning, and control problems using modern AI techniques.

Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems.

In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:

- The core concepts of search and optimization
- Deterministic and stochastic optimization techniques
- Graph search algorithms
- Trajectory-based optimization algorithms
- Evolutionary computing algorithms
- Swarm intelligence algorithms
- Machine learning methods for search and optimization problems
- Efficient trade-offs between search space exploration and exploitation
- State-of-the-art Python libraries for search and optimization

Inside this comprehensive guide, you’ll find a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods. Don’t worry--there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm.

Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.

About the technology

Every time you call for a rideshare, order food delivery, book a flight, or schedule a hospital appointment, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how.

About the book

Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.

What’s inside

- Graph search algorithms
- Metaheuristic algorithms
- Machine learning methods
- State-of-the-art Python libraries for optimization
- Efficient trade-offs between search space exploration and exploitation

About the reader

Requires intermediate Python and machine learning skills.

About the author

Dr. Alaa Khamis is an AI and smart mobility technical leader at General Motors and a lecturer at the University of Toronto.

The technical editor on this book was Frances Buontempo.

Table of Contents

PART 1
1 Introduction to search and optimization
2 A deeper look at search and optimization
3 Blind search algorithms
4 Informed search algorithms
PART 2
5 Simulated annealing
6 Tabu search
PART 3
7 Genetic algorithms
8 Genetic algorithm variants
PART 4
9 Particle swarm optimization
10 Other swarm intelligence algorithms to explore
PART 5
11 Supervised and unsupervised learning
12 Reinforcement learning
included with the eBook only:
Appendix A
Appendix B
Appendix C

 

作者簡介

Dr. Alaa Khamis is an AI and smart mobility technical leader at General Motors and a sessional lecturer at the University of Toronto. He is also an adjunct professor at Ontario Tech University and Nile University, affiliate member of the Center of Pattern Analysis and Machine Intelligence (CPAMI) at the University of Waterloo, and a former professor of artificial intelligence and robotics.

 

詳細資料

  • ISBN:9781633438835
  • 規格:平裝 / 350頁 / 23.5 x 18.75 x 2.24 cm / 普通級 / 初版
  • 出版地:美國
贊助商廣告
 
城邦讀書花園 - 今日66折
魔鬼的最後一眼(週四謀殺俱樂部4)
作者:理察・歐斯曼(Richard Osman)
出版社:臉譜
出版日期:2024-04-30
66折: $ 317 
金石堂 - 今日66折
旅遊大歷史
作者:賽門.亞當斯、R. G.格蘭
出版社:大石國際文化
出版日期:2019-12-03
66折: $ 792 
金石堂 - 今日66折
防彈斷食全書【決定版】:延緩老化、減少發炎、阻斷身體飢餓訊號,防彈咖啡創始人教你一輩子都有效的斷食法
作者:戴夫.亞斯普雷
出版社:木馬文化事業有限公司
出版日期:2022-06-08
66折: $ 297 
金石堂 - 今日66折
28天救回國中數學:從20分快速進步到70分,用你一定可以理解的方式打好基礎,看完題目再也不說「我放棄」。
作者:鑰匙出版社
出版社:大是文化有限公司
出版日期:2023-10-31
66折: $ 329 
 
Taaze 讀冊生活 - 暢銷排行榜
英文作文,抄這本就夠了:實用句型+學測例題+豐富範文,輕鬆擺平英文寫作
作者:李宇凡
出版社:捷徑文化
出版日期:2024-03-06
$ 285 
博客來 - 暢銷排行榜
膽大黨 14
作者:龍幸伸
出版社:東立
出版日期:2024-09-27
$ 93 
金石堂 - 暢銷排行榜
BLUE LOCK 藍色監獄 (首刷限定版) 28
作者:金城宗幸/ノ村優介
出版社:東立出版社
出版日期:2024-10-28
$ 126 
Taaze 讀冊生活 - 暢銷排行榜
原子習慣:細微改變帶來巨大成就的實證法則
作者:詹姆斯.克利爾
出版社:方智出版
出版日期:2019-06-01
$ 260 
 
Taaze 讀冊生活 - 新書排行榜
龍屍驚聞錄(中)
作者:我是猴三
出版社:北京億森同創文化
出版日期:2024-10-24
$ 59 
金石堂 - 新書排行榜
讓性愛機器人充滿AI(01)
作者:吉舎和幸
出版社:青文出版社股份有限公司
出版日期:2024-11-06
$ 111 
Taaze 讀冊生活 - 新書排行榜
驚!我穿越後火爆全京城了(全)
作者:我的沫果
出版社:北京億森同創文化
出版日期:2024-10-24
$ 531 
博客來 - 新書排行榜
神奇柑仔店17:消痛巧克力的危機
出版日期:2024-10-31
$ 284 
 

©2024 FindBook.com.tw -  購物比價  找書網  找車網  服務條款  隱私權政策