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Metaheuristic Clustering Algorithm

methods for clustering complex data sets and improve performance of some algorithms that illustrated in the literature. Experimental results are;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as;

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Nature-Inspired Metaheuristic Algorithms

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;

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Metaheuristic Optimization

-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex;

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Robust and Constrained Optimization

various metaheuristic algorithms (including memetic, interval, and random search optimization methods) can be applied to solve different types;

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Metaheuristics and Optimization in Civil Engineering

This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization;

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Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks

algorithm based on Distance and Residual Energy for Wireless Sensor Networks (DECSA) which describes scheduling based on distance and energy, and;

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A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)

and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However;

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Practical Approach Metaheuristics LabVIE

and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However;

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Data Clustering in C++

algorithms. This book was written for anyone who wants to implement or improve their data clustering algorithms. Using object-oriented design;

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Data Clustering in C++

algorithms. This book was written for anyone who wants to implement or improve their data clustering algorithms. Using object-oriented design;

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Metaheuristic Optimization in Power Engineering

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a;

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Feature Selection and Enhanced Krill Herd Algorithm for Text Document Clustering

new feature selection method based on a particle swarm optimization algorithm with a novel weighting scheme is proposed, as well as a detailed;

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Apache Mahout Clustering Designs

Explore clustering algorithms used with Apache Mahout About This Book * Use Mahout for clustering datasets and gain useful insights;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Applications of Firefly Algorithm and its Variants

The book discusses advantages of the firefly algorithm over other well-known metaheuristic algorithms in various engineering studies. The;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta;

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Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures

Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members;

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Metaheuristic Approaches for Optimum Design of Reinforced Concrete Structures

Opportunities is a pivotal reference source that focuses on several metaheuristic algorithms and the design of several types of structural members;

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Topology Control for Mobile Ad hoc Networks

In this book, we aim to design and implement algorithms in a distributed environment in order to solve clustering, backbone formation and;

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Hybrid Metaheuristics

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an;

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Data Clustering and Image Segmentation Through Genetic Algorithms

study and design of human systems helps provide efficient optimization algorithms. Data Clustering and Image Segmentation Through Genetic;

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Advances in Structural Engineering-Optimization

evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a;

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Advances in Structural Engineering Optimization

evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a;

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