Tag: Metaheuristics

Recent Advances in Hybrid Metaheuristics for Data Clustering


Free Download Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing) edited by Siddhartha Bhattacharyya, Sourav De, Sandip Dey
English | August 24, 2020 | ISBN: 1119551595 | True EPUB | 200 pages | 9.6 MB
An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques

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Hybrid Metaheuristics 4th International Workshop, HM 2007, Dortmund, Germany, October 8-9, 2007. Proceedings


Free Download Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund, Germany, October 8-9, 2007. Proceedings By Steffen Wolf, Peter Merz (auth.), Thomas Bartz-Beielstein, María José Blesa Aguilera, Christian Blum, Boris Naujoks, Andrea Roli, Günter Rudolph, Michael Sampels (eds.)
2007 | 201 Pages | ISBN: 3540755136 | PDF | 4 MB
This book constitutes the refereed proceedings of the 4th International Workshop on Hybrid Metaheuristics, HM 2007, held in Dortmund, Germany, in October 2007.The 14 revised full papers presented were carefully reviewed and selected from 37 submissions. The papers discuss specific aspects of hybridization of metaheuristics, hybrid metaheuristics design, development and testing. With increasing attention to methodological aspects, from both the empirical and theoretical sides, the papers show a representative sample of research in the field of hybrid metaheuristics. Some papers put special emphasis on the experimental analysis and statistical assessment of results, some are also an example of the integration of metaheuristics with mathematical programming, constraint satisfaction or machine learning techniques.

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Hybrid Metaheuristics 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings


Free Download Hybrid Metaheuristics: 8th International Workshop, HM 2013, Ischia, Italy, May 23-25, 2013. Proceedings By Thiago M. Gomes, Haroldo G. Santos, Marcone J. F. Souza (auth.), María J. Blesa, Christian Blum, Paola Festa, Andrea Roli, Michael Sampels (eds.)
2013 | 213 Pages | ISBN: 364238515X | PDF | 3 MB
This book constitutes the refereed proceedings of the 8th International Workshop on Hybrid Metaheuristics, HM 2013, held in Ischia, Italy, in May 2013. The 16 revised full papers presented were carefully reviewed and selected from 30 submissions. The selected papers cover both theoretical and experimental results, including new paradigmatic hybrid solvers and automatic design approaches as well as applications to logistics and public transport.

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Metaheuristics and Reinforcement Techniques for Smart Sensor Applications


Free Download Metaheuristics and Reinforcement Techniques for Smart Sensor Applications by Adwitiya Sinha, Manju, Samayveer Singh
English | October 23, 2024 | ISBN: 1032542357 | 252 pages | MOBI | 8.30 Mb
This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards.

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Metaheuristics in Machine Learning Theory and Applications


Free Download Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

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Metaheuristics Algorithm and Optimization of Engineering and Complex Systems


Free Download Metaheuristics Algorithm and Optimization of Engineering and Complex Systems by Thanigaivelan R, Suchithra M, Kaliappan S
English | July 23, 2024 | ISBN: 836935002X | 424 pages | PDF | 6.58 Mb
In the field of engineering, optimization and decision-making have become pivotal concerns. The ever-increasing demand for data processing has given rise to issues such as extended processing times and escalated memory utilization, posing formidable obstacles across various engineering domains. Problems persist, requiring not only solutions but advancements beyond existing best practices. Creating and implementing novel heuristic algorithms is a time-intensive process, yet the imperative to do so remains strong, driven by the potential to significantly lower computational costs even with marginal improvements. This book, titled Metaheuristics Algorithm and Optimization of Engineering and Complex Systems, is a beacon of innovation in this context. It examines the critical need for inventive algorithmic solutions, exploring hyperheuristic approaches that offer solutions such as automating search spaces through integrated heuristics. Designed to cater to a broad audience, this book is a valuable resource for both novice and experienced dynamic optimization practitioners. By addressing the spectrum of theory and practice, as well as discrete versus continuous dynamic optimization, it becomes an indispensable reference in a captivating and emerging field. With a deliberate focus on inclusivity, the book is poised to benefit anyone with an interest in staying abreast of the latest developments in dynamic optimization.

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Metaheuristics for Bi-level Optimization


Free Download El-Ghazali Talbi, "Metaheuristics for Bi-level Optimization"
English | 2013 | pages: 298 | ISBN: 3642378374, 3642442250 | PDF | 7,1 mb
This book provides a complete background on metaheuristics to solve complex bi-level optimization problems (continuous/discrete, mono-objective/multi-objective) in a diverse range of application domains.

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Metaheuristics in Machine Learning Theory and Applications


Free Download Metaheuristics in Machine Learning: Theory and Applications by Diego Oliva
English | EPUB | 2021 | 765 Pages | ISBN : 3030705412 | 110.7 MB
This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms.The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

(more…)