Metaheuristic Clustering

✍ Swagatam Das, Ajith Abraham, Amit Konar (auth.) 📂 Library 📅 2009 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Cluster analysis means the organization of an unlabeled collection of objects or patterns into separate groups based on their similarity. The task of computerized data clustering has been approached from diverse domains of knowledge like graph theory, multivariate analysis, neural networks, fu

Matheuristics: Hybridizing Metaheuristic

📁 Matheuristics: Hybridizing Metaheuristics and Mathematical Programming

✍ Marco Caserta, Stefan Voß (auth.), Vittorio Maniezzo, Thomas Stützle, Stefan Voß 📂 Library 📅 2010 🏛 Springer US 🌐 English

<OL><LI>Metaheuristics: Intelligent Problem Solving</LI>Marco Caserta and Stefan Voß<LI>Just MIP it!</LI>Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin<LI>MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics</LI

Matheuristics: Hybridizing Metaheuristic

📁 Matheuristics: Hybridizing Metaheuristics and Mathematical Programming

✍ Marco Caserta, Stefan Voß (auth.), Vittorio Maniezzo, Thomas Stützle, Stefan Voß 📂 Library 📅 2010 🏛 Springer US 🌐 English

<OL><LI>Metaheuristics: Intelligent Problem Solving</LI>Marco Caserta and Stefan Voß<LI>Just MIP it!</LI>Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin<LI>MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics</LI

Metaheuristics for Data Clustering and I

📁 Metaheuristics for Data Clustering and Image Segmentation

✍ Meera Ramadas, Ajith Abraham 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

In this book, differential evolution and its modified variants are applied to the clustering of data and images. Metaheuristics have emerged as potential algorithms for dealing with complex optimization problems, which are otherwise difficult to solve using traditional methods. In this regard,

Recent Advances in Hybrid Metaheuristics

📁 Recent Advances in Hybrid Metaheuristics for Data Clustering

✍ Sourav De (editor), Sandip Dey (editor), Siddhartha Bhattacharyya (editor) 📂 Library 📅 2020 🏛 John Wiley & Sons Inc 🌐 English

An authoritative guide to an in&#45;depth analysis of various state&#45;of&#45;the&#45;art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fund

Metaheuristic Algorithms in Industry 4.0

📁 Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics)

✍ Pritesh Shah (editor), Ravi Sekhar (editor), Anand J. Kulkarni (editor), Patrick 📂 Library 📅 2021 🏛 CRC Press 🌐 English

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuatio

Metaheuristic Clustering

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