Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspectives (Natural Computing Series) / Brockhoff, Dimo (EDT)/ Emmerich, Michael (EDT)/ Naujoks, Boris (EDT)

Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspectives (Natural Computing Series) （2023）

個数：

Many-Criteria Optimization and Decision Analysis : State-of-the-Art, Present Challenges, and Future Perspectives (Natural Computing Series) （2023）

Brockhoff, Dimo (EDT)/ Emmerich, Michael (EDT)/ Naujoks, Boris (EDT)

ウェブストア価格 ¥36,999（本体¥33,636）
Springer International Publishing AG（2024/07発売）
外貨定価 US$ 179.99
ポイント 336pt

在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
通常6～9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合がございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 360 p.
言語 ENG
商品コード 9783031252655

Full Description

This book presents the state-of-the-art, current challenges, and future perspectives for the field of many-criteria optimization and decision analysis. The field recognizes that real-life problems often involve trying to balance a multiplicity of considerations simultaneously - such as performance, cost, risk, sustainability, and quality. The field develops theory, methods and tools that can support decision makers in finding appropriate solutions when faced with many (typically more than three) such criteria at the same time.

The book consists of two parts: key research topics, and emerging topics. Part I begins with a general introduction to many-criteria optimization, perspectives from research leaders in real-world problems, and a contemporary survey of the attributes of problems of this kind. This part continues with chapters on fundamental aspects of many-criteria optimization, namely on order relations, quality measures, benchmarking, visualization, and theoretical considerations. Part II offers more specialized chapters on correlated objectives, heterogeneous objectives, Bayesian optimization, and game theory.

Written by leading experts across the field of many-criteria optimization, this book will be an essential resource for researchers in the fields of evolutionary computing, operations research, multiobjective optimization, and decision science.

Chapter 1: Introduction to Many-Criteria Optimization and Decision Analysis.- Chapter 2: Key Issues in Real-World Applications of Many-Objective Optimisation and Decision Analysis.- Chapter 3: Identifying Properties of Real-World Optimisation Problems through a Questionnaire.- Chapter 4: Many-Criteria Dominance Relations.- Chapter 5: Many-Objective Quality Measures.- Chapter 6: Benchmarking.- Chapter 7: Visualisation for decision support in many-objective optimisation: state-of-the-art, guidance and future directions.- Chapter 8: Theoretical Aspects of Subset Selection in Multi-Objective Optimisation.- Chapter 9: Identifying Correlations in Understanding and Solving Multi-Objective Problems.- Chapter 10: Bayesian Optimization.- Chapter 11: A game theoretic perspective on Bayesian many-objective optimization.- Chapter 12: Heterogeneous Objectives: State-of-the-Art and Future Research.- Chapter 13: MACODA Ontology and Knowledge Management.