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Modeling, Simulation, and Optimization

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Modeling, Simulation, and Optimization / edited by Pandian Vasant, Igor Litvinchev, José Antonio Marmolejo-Saucedo.
other author:	Vasant, Pandian.
Description:	VIII, 129 p. 50 illus., 41 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-3-319-70542-2
ISBN:	9783319705422

Modeling, Simulation, and Optimization
Modeling, Simulation, and Optimization [electronic resource] /edited by Pandian Vasant, Igor Litvinchev, José Antonio Marmolejo-Saucedo. - 1st ed. 2018. - VIII, 129 p. 50 illus., 41 illus. in color.online resource. - EAI/Springer Innovations in Communication and Computing,2522-8595. - EAI/Springer Innovations in Communication and Computing,.

Texture Synthesis and Design based on Elements Distribution Creation -- Selective Encryption using Natural Language Processing for Text data in Mobile Ad hoc Network -- A Novel Hybrid Artificial Bee Colony with Monarch Butterfly Optimization for Global Optimization Problems -- Domain Models Definition for Rule Generation Using Controlled Variability Management -- Hybridizing Bat Algorithm with Modified Pitch-Adjustment Operator for Numerical Optimization Problems -- Consolidation of Host-Based Mobility Management Protocols with Wireless Mesh Network -- Performance Evaluation of Hot Mix Asphalt Concrete by Using Polymeric Waste Polyethylene -- Evaluation of technical efficiency of thermal power units in Mexico Data Envelopment Analysis and Stochastic Frontiers.

This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.

ISBN: 9783319705422

Standard No.: 10.1007/978-3-319-70542-2doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Modeling, Simulation, and Optimization
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520 $a This book features selected contributions in the areas of modeling, simulation, and optimization. The contributors discusses requirements in problem solving for modeling, simulation, and optimization. Modeling, simulation, and optimization have increased in demand in exponential ways and how potential solutions might be reached. They describe how new technologies in computing and engineering have reduced the dimension of data coverage worldwide, and how recent inventions in information and communication technology (ICT) have inched towards reducing the gaps and coverage of domains globally. The chapters cover how the digging of information in a large data and soft-computing techniques have contributed to a strength in prediction and analysis, for decision making in computer science, technology, management, social computing, green computing, and telecom. The book provides an insightful reference to the researchers in the fields of engineering and computer science. Researchers, academics, and professionals will benefit from this volume. Features selected expanded papers in modeling, simulation, and optimization from COMPSE 2016; Includes research into soft computing and its application in engineering and technology; Presents contributions from global experts in academia and industry in modeling, simulation, and optimization.
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