عنوان
پدید آورنده
موضوع
رده
کتابخانه
محل استقرار
شابک
شابک
9781461378112
شابک
9781461561354
شماره کتابشناسی ملی
شماره
b403441
عنوان و نام پديدآور
عنوان اصلي
Fuzzy Evolutionary Computation
نام عام مواد
[Book]
نام نخستين پديدآور
edited by Witold Pedrycz.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Boston, MA :
نام ناشر، پخش کننده و غيره
Imprint: Springer,
تاریخ نشرو بخش و غیره
1997.
یادداشتهای مربوط به مندرجات
متن يادداشت
1: Fundamentals -- 1.1. Evolutionary Algorithms -- 1.2. On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography -- 1.13. Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components -- 2: Methodology and Algorithms -- 2.1. GA Algorithms in Intelligent Robots -- 2.2. Development of If-Then Rules with the Use of DNA Coding -- 2.3. Genetic-Algorithm-Based Approaches to Classification Problems -- 2.4. Multiobjective Fuzzy Satisficing Methods for 0-1 Knapsack Problems through Genetic Algorithms -- 2.5. Multistage Evolutionary Optimization of Fuzzy Systems - Application to Optimal Fuzzy Control -- 2.6. Evolutionary Learning in Neural Fuzzy Control Systems -- 2.7. Stable Identification and Adaptive Control - A Dynamic Fuzzy Logic System Approach -- 2.8. Evolutionary Based Learning of Fuzzy Controllers -- 2.9. GA-Based Generation of Fuzzy Rules -- 3: Bibliography -- 3.1. An Indexed Bibliography of Genetic Algorithms with Fuzzy Logic.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
As of today, Evolutionary Computing and Fuzzy Set Computing are two mature, wen -developed, and higbly advanced technologies of information processing. Bach of them has its own clearly defined research agenda, specific goals to be achieved, and a wen setUed algorithmic environment. Concisely speaking, Evolutionary Computing (EC) is aimed at a coherent population -oriented methodology of structural and parametric optimization of a diversity of systems. In addition to this broad spectrum of such optimization applications, this paradigm otTers an important ability to cope with realistic goals and design objectives reflected in the form of relevant fitness functions. The GA search (which is often regarded as a dominant domain among other techniques of EC such as evolutionary strategies, genetic programming or evolutionary programming) delivers a great deal of efficiency helping navigate through large search spaces. The main thrust of fuzzy sets is in representing and managing nonnumeric (linguistic) information. The key notion (whose conceptual as weH as algorithmic importance has started to increase in the recent years) is that of information granularity. It somewhat concurs with the principle of incompatibility coined by L. A. Zadeh. Fuzzy sets form a vehic1e helpful in expressing a granular character of information to be captured. Once quantified via fuzzy sets or fuzzy relations, the domain knowledge could be used efficiently very often reducing a heavy computation burden when analyzing and optimizing complex systems.
ویراست دیگر از اثر در قالب دیگر رسانه
شماره استاندارد بين المللي کتاب و موسيقي
9781461378112
قطعه
عنوان
Springer eBooks
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Logic, Symbolic and mathematical.
موضوع مستند نشده
Mathematics.
موضوع مستند نشده
Operations research.
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Pedrycz, Witold.
نام تنالگان _ (مسئولیت معنوی برابر)
مستند نام تنالگان تاييد نشده
SpringerLink (Online service)
مبدا اصلی
تاريخ عمليات
20190301082400.0
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
