عنوان

Advances in metaheuristics algorithms :

شابک

3030077365

شابک

3319893092

شابک

3319893106

شابک

9783030077365

شابک

9783319893099

شابک

9783319893105

شابک اشتباه

3319893084

شابک اشتباه

9783319893082

عنوان اصلي

Advances in metaheuristics algorithms :

نام عام مواد

[Book]

ساير اطلاعات عنواني

methods and applications /

نام نخستين پديدآور

by Erik Cuevas, Daniel Zaldívar, Marco Pérez-Cisneros.

محل نشرو پخش و غیره

Cham, Switzerland :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

1 online resource (xiv, 218 pages) :

ساير جزييات

illustrations (some color)

عنوان فروست

Studies in computational intelligence,

مشخصه جلد

volume 775

شاپا ي ISSN فروست

1860-949X ;

متن يادداشت

Includes bibliographical references.

متن يادداشت

Introduction -- The metaheuristic algorithm of the social-spider -- Calibration of Fractional Fuzzy Controllers by using the Social-spider method -- The metaheuristic algorithm of the Locust-search -- Identification of fractional chaotic systems by using the Locust Search Algorithm -- The States of Matter Search (SMS) -- Multimodal States of Matter search -- Metaheuristic algorithms based on Fuzzy Logic.

بدون عنوان

0

متن يادداشت

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9783319893099

عنوان

Advances in metaheuristics algorithms.

شماره استاندارد بين المللي کتاب و موسيقي

9783319893082

موضوع مستند نشده

Heuristic programming.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Computers-- Intelligence (AI) & Semantics.

موضوع مستند نشده

Heuristic programming.

موضوع مستند نشده

Mathematical optimization.

موضوع مستند نشده

COM004000

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Cuevas, Erik

مستند نام اشخاص تاييد نشده

Pérez-Cisneros, Marco

مستند نام اشخاص تاييد نشده

Zaldívar, Daniel

تاريخ عمليات

20200823114220.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y