Soft Computing Techniques for Engineering Optimization (Science, Technology, and Management)

個数：

Soft Computing Techniques for Engineering Optimization (Science, Technology, and Management)

Kumar, Kaushik/ Roy, Supriyo/ Davim, J. Paulo

ウェブストア価格 ¥13,633（本体¥12,394）
CRC Press（2021/03発売）
外貨定価 US$ 64.99
ポイント 123pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
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 154 p.
言語 ENG
商品コード 9780367780210
DDC分類 006.3

Full Description

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations.

Features

Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management

Presents various soft computing techniques

Offers problems and their optimization using various soft computing techniques

Discusses related software programs, with illustrations

Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

Section I. Introduction to Soft Computing Techniques. Chapter 1. Introduction to Optimization and Relevance of Soft Computing towards Optimal Solution. Chapter 2. Various Soft Computing Techniques and Their Description. Section II. Various Case Studies Comprising Industrial Problems and Their Optimal Solutions Using Different Techniques. Chapter 3. Single-Objective Optimization Using Response Surface Methodology. Chapter 4. Multi-Objective Oprimization Using Weighted Principal Component Analysis. Chapter 5. Single-Objective Optimization Using Taguchi Technique (Maximization). Chapter 6. .Single-Objective Optimization Using Taguchi Technique (Minimization). Chapter 7. Multi-Objective Optimization Using Grey-Taguchi Technique. Chapter 8. Multi-Objective Optimization Using Taguchi-Coupled Fuzzy Logic. Chapter 9. Multi-Objective Optimization Using Non-Dominated Sorting Genetic Algorithm. Chaper 10. Single-Objective Optimization Using Artificial Bee Colony Algorithm. Section III. Hands-On Training on Various Software Dedicated for the Usage of Techniques. Chapter 11. Working with Minitab for Optimization Using Taguchi Technique. Chapter 12. Workign with MATLAB for Optimization Using Artificial Neural Network. Chapter 13. Working with MATLAB for Optimization Using Genetic Algorithm.