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Multi-Objective Optimization in Computer Networks Using Metaheuristics

Many new multicast applications emerging from the Internet--such as TV over the Internet, radio over;...

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Hybrid Metaheuristics

readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objectivemulti-objective;

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Metaheuristics

efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing;

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Advances in Metaheuristics

implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering;

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Advances in Metaheuristics

implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering;

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Optimization in Engineering Sciences

stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.;

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Recent Developments in Metaheuristics

studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The;

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Parallel Metaheuristics

Multi-Objective Optimization, and Parallel Heterogeneous Metaheuristics Part Three: Theory and Applications, including Theory of Parallel;

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Metaheuristics and Optimization in Computer and Electrical Engineering

explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical;

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Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering;

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition

search, evolutionary computation, local search, neural networks, and other metaheuristics. It also explores multi-objective optimization;

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Optimization Using Evolutionary Algorithms and Metaheuristics

applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering;

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Engineering Optimization

for optimization. This book introduces state-of-the-art metaheuristic algorithms and their applications in optimization, using both MATLAB(R;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Swarm Intelligence Based Optimization

discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for;

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Evolutionary Algorithms For Mobile Ad Hoc Networks

researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization.;

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Metaheuristics for Intelligent Electrical Networks

strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization;

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Fundamentals of Optimization Techniques with Algorithms

Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system;

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Optimization Techniques for Solving Complex Problems

solving complex problems in optimization across a wide variety of real-world settings, including computer science, engineering, transportation;

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Intelligent Network Management and Control- Intel Security, Multi-criteria Optimization, Cloud Computing, Internet of Vehicles,Intelligent Radio

of security services in SDN (software-defined networking), optimization of networks using artificial intelligence techniques and multi-criteria;

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Multi-objective Design Of Antennas Using Surrogate Models

This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic;

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Portfolio Selection Using Multi Objective Optimisation

and practical approach for multi-objective portfolio optimization. This book will be of interest to Foreign Institutional Investors (FIIs;

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Metaheuristics for Production Scheduling

fields. For the past several years, there has been an increasing interest in using metaheuristic methods to solve scheduling problems. The main;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational;

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Modern Optimization with R

and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are;

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