عنوان

Nature-Inspired algorithms and applied optimization

شابک

9783319676692

شابک

9783319676685

شماره

E2979

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Nature-Inspired algorithms and applied optimization

نام نخستين پديدآور

edited by Xin-She Yang.

محل نشرو پخش و غیره

Cham,

نام ناشر، پخش کننده و غيره

Springer International Publishing

تاریخ نشرو بخش و غیره

2018.

نام خاص و کميت اثر

xi, 330 p.

ساير جزييات

ill.

عنوان فروست

(Studies in computational intelligence

ساير اطلاعات عنواني

744)

شاپا ي ISSN فروست

1860-949X ;

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

Mathematical Analysis of Nature-Inspired Algorithms -- A Review of No Free Lunch Theorems, and their Implications for Metaheuristic Optimisation -- Global Convergence Analysis of Cuckoo Search Using Markov Theory -- On Effeciently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm -- Variants of the Flower Pollination Algorithm: A Review.

بدون عنوان

0

متن يادداشت

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.

عنصر شناسه ای

Algorithms.

عنصر شناسه ای

Artificial intelligence.

عنصر شناسه ای

Computational intelligence.

عنصر شناسه ای

Mathematical optimization.

ويراست

شماره رده

نشانه اثر

عنصر شناسه اي

Yang, Xin-She.

کشور

Iran

سازمان

University of Tehran. Library of College of Science

تاريخ عمليات

20220410173004.0

قواعد فهرست نويسي ( بخش توصيفي )

rda

تاريخ و ساعت مذاکره و دسترسي

UT_SCI_BL_DB_1003237_0001.pdf

فرمت انتشار

e

نوع ماده

BL

کد کاربرگه

278840

سطح دسترسي

a

تكميل شده

Y