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Network Models In Optimization And Their Applications In Practice

Unique in that it focuses on formulation and case studies rather than solutions procedures covering applications for pure, generalized and;

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Brits Speak Out

This work introduces concepts and algorithms in optimization theory for neural network research, covers the main neural network models and;

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Modeling and Optimization of Interdependent Energy Infrastructures

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from;

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Modeling and Optimization of Interdependent Energy Infrastructures

This book opens up new ways to develop mathematical models and optimization methods for interdependent energy infrastructures, ranging from;

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Applied Optimization Methods for Wireless Networks

in wireless networks. Each chapter reviews a specific optimization method and then demonstrates how to apply the theory in practice through a detailed;

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Linear and Integer Optimization

simplex algorithm, duality, sensitivity analysis, integer optimization models, and network models are introduced. More advanced topics also;

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Queueing Theory and Network Applications

This book constitutes the proceedings of the 13th International Conference on Queueing Theory and Network Applications, QTNA 2018, held;

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Network Design And Optimization For Smart Cities

optimization of smart cities. Such models can be used from outlining the fundamental concepts of urban development to the description and optimization;

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Optimization Modeling With Spreadsheets

An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third;

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Practical Financial Optimization

-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between;

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Practical Financial Optimization

-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between;

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Graphs and Combinatorial Optimization: from Theory to Applications

optimization, network optimization, mixed-integer programming, heuristics, meta-heuristics, math-heuristics, and exact methods as well as;

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Combinatorial Optimization and Applications

This book constitutes the refereed proceedings of the 9th International Conference on Combinatorial Optimization and Applications, COCOA;

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Optimization Methods and Applications: In Honor of Ivan V. Sergienko's 80th Birthday

Researchers and practitioners in computer science, optimization, operations research and mathematics will find this book useful as it;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;

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5G Networks

5G Networks: Planning, Design and Optimization presents practical methods and algorithms for the design of 5G Networks, covering issues;

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Intelligent System Applications In Power Engineering

This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent;

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Combinatorial Optimization and Applications

, network optimization, combinatorial algorithms, approximation algorithms, paths and connectivity problems and much more.;

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Neural Information Processing

from incomplete data; model compression and optimization; neural network applications; neural network models; semantic and graph based;

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Deep Neural Evolution

of most classic optimization schemes. Furthermore, EC has been extensively and successfully applied in artificial neural network (ANN) research;

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Deep Neural Evolution

of most classic optimization schemes. Furthermore, EC has been extensively and successfully applied in artificial neural network (ANN) research;

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Deep Learning on Edge Computing Devices

other applications by presenting neural network algorithms and hardware design optimization approaches for Edge-deep learning. Applications are;

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Modeling, Computation And Optimization

and economics for decision making. It focuses on exciting areas like models for wireless networks, models of Nash networks, dynamic models;

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Neural Networks in Transport Applications

context, many network models have been designed. Network models centre their analysis around the spatial behaviour of individuals or groups in an;

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Optimization Modeling For Supply Chain Management

the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. The focus is on;

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Artificial Neural Network Applications for Software Reliability Prediction

without having analyst capability and expertise in various ANN architectures and their optimization. Artificial neural network (ANN) has;

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