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Machine Learning and Metaheuristics Algorithms, and Applications

This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications;

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Machine Learning and Metaheuristics Algorithms and Applications

This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications;

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Metaheuristics in Machine Learning

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered;

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Hybrid Metaheuristics

combining metaheuristics with complementary metaheuristics, mathematical programming, constraint programming and machine learning. Numerous real;

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Metaheuristics

and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations;

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Tuning Metaheuristics

. This book shows that the problem of tuning a me- heuristic can be described and solved as a machine learning problem. Using the machine;

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Machine Intelligence and Soft Computing

computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing;

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Automated Design of Machine Learning and Search Algorithms

This book presents recent advances in automated machine learning (AutoML) and automated algorithm design and indicates the future;

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021)

sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning;

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Data-Driven Evolutionary Optimization

Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning;

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Advances in Artificial Intelligence

representation, reasoning and logic, machine learning, multiagent systems, multidisciplinary topics and applications, metaheuristics, uncertainty;

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Hybrid Metaheuristics

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may l;...

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Advances in Artificial Intelligence

, reasoning, and logic; intelligent systems and environment; intelligent Web and recommender systems; machine learning and data mining; metaheuristics;

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Production Research

; machine learning and big data.;

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Production Research

; machine learning and big data.;

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Intelligent Systems

, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and;

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Intelligent Systems

, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and;

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Autonomous Search

, machine learning, evolutionary computing, and feedback control theory. After the editors' introduction to autonomous search, the chapters are;

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Metaheuristics for Combinatorial Optimization

This book presents novel and original metaheuristics developed to solve the cost-balanced traveling ;...

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Mathematical Optimization Theory and Operations Research: 19th International Conference, Motor 2020, Novosibirsk, Russia, July 6-10, 2020, Revised Sel

mathematical economics; heuristics and metaheuristics; machine learning and data analysis.;

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Heuristics

Many advances have recently been made in metaheuristic methods, from theory to applications. The com;...

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Parallel Metaheuristics

Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings t;...

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Metaheuristics

The book presents eight well-known and often used algorithms besides nine newly developed algorithms;...

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Machine Learning for Big Data Analysis

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning;

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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 approache;...

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Recent Advances in Soft Computing

intelligence, metaheuristics, and optimization; Part 2 then focuses on neural networks, machine learning, self-organization, fuzzy systems, and;

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Swarm Intelligence Based Optimization

learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications;

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