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Optimization Models in Steganography Using Metaheuristics

and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG;

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Optimization Models in Steganography Using Metaheuristics

and a Multi-Random Start Local Search optimization algorithm. One of the most important types of media used for steganography is the JPEG;

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Metaheuristics for Portfolio Optimization

and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results;

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Metaheuristics

efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to;

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Metaheuristics for Combinatorial Optimization

is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex;

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Parallel Metaheuristics

Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings together an international group;

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Metaheuristics for Air Traffic Management

. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties;

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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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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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Metaheuristics

in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide;

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Hybrid Metaheuristics

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

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Advances in Metaheuristics

optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical;

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Advances in Metaheuristics

optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical;

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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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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian;

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Metaheuristics for Logistics

supply chain. It shows how these problems can be tackled by metaheuristics, both separately and using an integrated approach. A huge number;

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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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Metaheuristics for Structural Design and Analysis

of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis;

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Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering;

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Optimization of Integer/Fractional Order Chaotic Systems by Metaheuristics and their Electronic Realization

optimized models can then be implemented using commercially available amplifiers, field-programmable analog arrays (FPAA), field-programmable gate;

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Hybrid Metaheuristics

of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction;

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Metaheuristics for Robotics

This book is dedicated to the application of metaheuristic optimization in trajectory generation and control issues in robotics. In this;

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Metaheuristic and Evolutionary Computation Algorithms and Applications

metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems;

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Steganography Techniques for Digital Images

variety of applications using Steganography, with the goal of both hindering an adversary from decoding a hidden message, and also preventing an;

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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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Socio cultural Inspired Metaheuristics

-based optimization algorithms, socio-cultural algorithms belong to the category of metaheuristics (problem-independent computational methods;

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Heuristics for Optimization and Learning

This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the;

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