Modern Optimization with R
暫譯: 現代優化與 R
Paulo Cortez
- 出版商: Springer
- 出版日期: 2021-07-31
- 售價: $4,130
- 貴賓價: 9.5 折 $3,924
- 語言: 英文
- 頁數: 254
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030728188
- ISBN-13: 9783030728182
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商品描述
The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R.
This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).
商品描述(中文翻譯)
本書的目標是將與優化方法相關的最重要概念匯集於單一作品中，展示如何使用開源的多平台 R 工具來處理這些理論和方法。現代優化方法，也稱為元啟發式演算法，特別適用於解決尚未開發專門優化演算法的複雜問題。這些方法通常能夠在更合理的計算資源使用（例如記憶體和處理努力）下產生高品質的解決方案。本書討論的幾種流行的現代方法包括：模擬退火（simulated annealing）、禁忌搜尋（tabu search）、遺傳演算法（genetic algorithms）、微分演化（differential evolution）和粒子群優化（particle swarm optimization）。本書適合計算機科學、資訊技術及相關領域的本科生和研究生，以及對使用 R 探索現代優化方法感興趣的數據分析師。
這一新版整合了最新的 R 套件，並通過文本和程式碼範例進行說明。它還討論了新主題，例如：人工智慧和商業分析在現代優化任務中的影響；互動式網頁應用程式的創建；平行計算的使用；以及更多現代優化演算法（例如，迭代賽跑、蟻群優化、文法演化）。
作者簡介
Paulo Cortez (Habilitation, PhD) is an Associate Professor (with tenure) at the Department of Information Systems, University of Minho, Portugal. He is also assistant director of the ALGORITMI R&D Centre. From 2012 to 2015, he was Vice-President of the Portuguese Association for Artificial Intelligence (www.appia.pt). Currently, he is Associate Editor of the journals Decision Support Systems and Expert Systems. His research, within the fields of decision support, data science, business analytics, machine learning, and modern optimization, has appeared in Journal of Heuristics, Decision Support Systems, Information Processing and Management, Information Sciences and others.
作者簡介(中文翻譯)
保羅·科爾特斯（Habilitation, PhD）是葡萄牙米尼奧大學資訊系的副教授（終身職）。他同時也是ALGORITMI研發中心的助理主任。從2012年到2015年，他擔任葡萄牙人工智慧協會（www.appia.pt）的副會長。目前，他是期刊《Decision Support Systems》和《Expert Systems》的副編輯。他的研究領域包括決策支持、數據科學、商業分析、機器學習和現代優化，相關成果發表於《Journal of Heuristics》、《Decision Support Systems》、《Information Processing and Management》、《Information Sciences》等期刊。
