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Recent Advances in Hybrid Metaheuristics for Data Clustering

intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics;

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Hybrid Metaheuristics for Image Analysis

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how;

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Hybrid Artificial Intelligent Systems

fusion, HAIS for computer security (HAISFCS), data mining: data preparation and analysis, hybrid artificial intelligence systems in management;

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Hybrid Metaheuristics

The main goal of this book is to provide a state of the art of hybrid metaheuristics. The book provides a complete background that enables;

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Hybrid Intelligence for Image Analysis and Understanding

A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings;

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Hybrid Metaheuristics

This book constitutes the refereed proceedings of the 10th International Workshop on Hybrid Metaheuristics, HM 2016, held in Plymouth, UK;

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Hybrid Metaheuristics

optimization problem, especially with incomplete or imperfect information.This unique compendium focuses on the insights of hybrid metaheuristics. It;

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Hybrid Metaheuristics

This book constitutes the refereed proceedings of the 9th International Workshop on Hybrid Metaheuristics, HM 2014, held in Hamburg;

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

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Metaheuristic Algorithms for Image Segmentation

of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre;

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Metaheuristic Algorithms for Image Segmentation

of cameras in devices; for example, smart phones and cars now have embedded cameras. The images have to be accurately analyzed, and crucial pre;

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Parallel Metaheuristics

can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields;

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Bio-Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired;

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Hybrid Machine Intelligence for Medical Image Analysis

the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered;

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Hybrid Artificial Intelligent Systems

algorithms; hybrid intelligent systems for data mining and applications; classification and cluster analysis, HAIS applications.;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Hybrid Soft Computing Approaches

Analysis, (d) A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms, and (e) Hybridization;

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Metaheuristics for Production Scheduling

Job Shop Scheduling Problems, Imed Kacem. 3. A Hybrid GRASP-Differential Evolution Algorithm for Solving Flow Shop Scheduling Problems with;

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Hybrid Image Processing Methods for Medical Image Examination

) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes;

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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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Advances in Metaheuristics

Metaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have;

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Hybrid Artificial Intelligent Systems

computation; learning algorithms; video and image; classification and cluster analysis; applications; bioinformatics; and hybrid intelligent systems;

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Metaheuristics for Combinatorial Optimization

was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked;

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Metaheuristics

an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the;

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Metaheuristics for Big Data

critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires;

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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processin;...

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