Houssein Essam (106 results)
Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Houssein, Essam Halim (EDT); Abd Elaziz, Mohamed (EDT); Oliva, Diego (EDT); Abualigah, Laith (EDT)
Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Houssein, Essam Halim (EDT); Abd Elaziz, Mohamed (EDT); Oliva, Diego (EDT); Abualigah, Laith (EDT)
Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 526 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Houssein, Essam Halim (EDT); Abd Elaziz, Mohamed (EDT); Oliva, Diego (EDT); Abualigah, Laith (EDT)
Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer Nature Switzerland AG, Cham, 2021
Series: Book 475 of 538 - Studies in Computational Intelligence
- Hardcover
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Hardcover. Condition: new. Hardcover. 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 themat…ic. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Integrating Meta-heuristics and Machine Learning for Real-world Optimization Problems
Houssein, Essam Halim (EDT); Abd Elaziz, Mohamed (EDT); Oliva, Diego (EDT); Abualigah, Laith (EDT)
Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
Mohamed Abd Elaziz, Diego Oliva, Essam Halim Houssein, Laith Abualigah
Language: English
Published by Springer Nature Switzerland AG, CH, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Paperback. Condition: New. 2022 ed. This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The fields of applications are from distribu…tion systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2024
- Softcover
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Paperback. Condition: new. Paperback. This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classif…ied into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Springer, 2021
Series: Book 475 of 538 - Studies in Computational Intelligence
- Hardcover
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Condition: New. In.
Language: English
Published by Springer, 2022
Series: Book 475 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Language: English
Published by Springer, 2022
Series: Book 526 of 538 - Studies in Computational Intelligence
- Hardcover
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
More imagesLanguage: English
Published by Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems | Essam Halim Houssein (u. a.) | Taschenbuch | ix | Englisch | 2026 | Springer | EAN 9783030990817 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann…[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2024
- Softcover
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Paperback. Condition: new. Paperback. This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classif…ied into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
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Language: English
Published by Springer International Publishing, 2022
Series: Book 526 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques. The f…ields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Language: English
Published by Springer-Verlag GmbH, 2023
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
Seller: Buchpark, Trebbin, GermanyBuchpark
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 512 | Sprache: Englisch | Produktart: Bücher | This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machi…ne learning techniques. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Language: English
Published by Springer, Springer, 2026
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that employ evolutionary and swarm optimization tools combined with machine learning techniques…. The fields of applications are from distribution systems until medical diagnosis, and they are also included different surveys and literature reviews that will enrich the reader. Besides, cutting-edge methods such as neuroevolutionary and IoT implementations are presented in some chapters. 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 can be used in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the material canbe helpful for research from the evolutionary computation, artificial intelligence communities.
Language: English
Published by Springer Verlag, Singapore, Singapore, 2023
- Hardcover
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Hardcover. Condition: new. Hardcover. This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classif…ied into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
More imagesLanguage: English
Published by Springer, 2022
Series: Book 475 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Metaheuristics in Machine Learning: Theory and Applications | Diego Oliva (u. a.) | Taschenbuch | xiv | Englisch | 2022 | Springer | EAN 9783030705442 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: p…reigu.
Language: English
Published by Springer, 2021
Series: Book 475 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, 2024
- Softcover
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Taschenbuch. Condition: Neu. Machine Learning and Metaheuristics: Methods and Analysis | Uma N. Dulhare (u. a.) | Taschenbuch | Algorithms for Intelligent Systems | xiii | Englisch | 2024 | Springer | EAN 9789819966479 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer, 2022
Series: Book 475 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2022
Series: Book 475 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 788 | Sprache: Englisch | Produktart: Bücher | 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 w…ere 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.
Language: English
Published by Springer International Publishing, 2021
Series: Book 475 of 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 c…ontent; 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.
Language: English
Published by Springer International Publishing, 2022
Series: Book 475 of 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 o…n 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.
Language: English
Published by Springer, 2024
- Softcover
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Condition: New.
Language: English
Published by Springer, 2023
- Hardcover
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Condition: New. pp. 312.
Language: English
Published by Springer Nature Switzerland AG, CH, 2023
Series: Book 526 of 538 - Studies in Computational Intelligence
- Softcover
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Paperback. Condition: New. 2022 ed.
