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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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Socio cultural Inspired Metaheuristics

book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial;

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Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering;

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Optimization Using Evolutionary Algorithms and Metaheuristics

fields Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering;

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Data-Driven Evolutionary Optimization

seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms;

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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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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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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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Evolutionary Algorithms For Mobile Ad Hoc Networks

involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting;

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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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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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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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Recent Advances in Hybrid Metaheuristics for Data Clustering

of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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Metaheuristic Algorithms for Image Segmentation

This book presents a study of the most important methods of image segmentation and how they are extended and improved using metaheuristic;

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MultiObjective Optimization using Evolutionary Algorithms

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;

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Optimization Techniques for Solving Complex Problems

Real-world problems and modern optimization techniques to solve them Here, a team of international experts brings together core ideas for;

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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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Multimodal Optimization by Means of Evolutionary Algorithms

, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he;

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Evolutionary Computation in Combinatorial Optimization

covered in this volume reflects the current state of research in the fields of evolutionary computation and combinatorial optimization.;

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Evolutionary Computation in Combinatorial Optimization

This book constitutes the refereed proceedings of the 19th European Conference on Evolutionary Computation in Combinatorial Optimization;

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Multi-Objective Optimization Using Evolu

. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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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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Applied Evolutionary Algorithms for Engineers using Python

This book meant for those who seek to apply evolutionary algorithms to problems in engineering and science. To this end, it provides the;

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Evolutionary Data Clustering

for data clustering. The book provides literature reviews about single objective and multi-objective evolutionary clustering algorithms;

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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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