Learning And Intelligent Optimization

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Learning and Intelligent Optimization

Author : Ilias S. Kotsireas
Publisher : Springer
ISBN 13 : 9783030535513
Total Pages : 430 pages
Book Rating : 4.5/5 (355 download)

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Book Synopsis Learning and Intelligent Optimization by : Ilias S. Kotsireas

Download or read book Learning and Intelligent Optimization written by Ilias S. Kotsireas and published by Springer. This book was released on 2020-07-18 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 14, held in Athens, Greece, in May 2020. The 37 full papers presented together with one invited paper have been carefully reviewed and selected from 75 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components. Due to the COVID-19 pandemic, LION 14 was not held as a physical meeting.

Learning and Intelligent Optimization

Author : Youssef Hamadi
Publisher : Springer
ISBN 13 : 3642344135
Total Pages : 514 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Learning and Intelligent Optimization by : Youssef Hamadi

Download or read book Learning and Intelligent Optimization written by Youssef Hamadi and published by Springer. This book was released on 2012-10-01 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community.

Learning and Intelligent Optimization

Author : Dimitris E. Simos
Publisher : Springer Nature
ISBN 13 : 3030921212
Total Pages : 423 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Learning and Intelligent Optimization by : Dimitris E. Simos

Download or read book Learning and Intelligent Optimization written by Dimitris E. Simos and published by Springer Nature. This book was released on 2021-12-08 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings on Learning and Intelligent Optimization, LION 15, held in Athens, Greece, in June 2021. The 30 full papers presented have been carefully reviewed and selected from 35 submissions. LION deals with designing and engineering ways of "learning" about the performance of different techniques, and ways of using past experience about the algorithm behavior to improve performance in the future. Intelligent learning schemes for mining the knowledge obtained online or offline can improve the algorithm design process and simplify the applications of high-performance optimization methods. Combinations of different algorithms can further improve the robustness and performance of the individual components.

Learning and Intelligent Optimization

Author : Roberto Battiti
Publisher : Springer
ISBN 13 : 9783030053475
Total Pages : 0 pages
Book Rating : 4.0/5 (534 download)

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Book Synopsis Learning and Intelligent Optimization by : Roberto Battiti

Download or read book Learning and Intelligent Optimization written by Roberto Battiti and published by Springer. This book was released on 2019-01-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Reactive Search and Intelligent Optimization

Author : Roberto Battiti
Publisher : Springer Science & Business Media
ISBN 13 : 0387096248
Total Pages : 198 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Reactive Search and Intelligent Optimization by : Roberto Battiti

Download or read book Reactive Search and Intelligent Optimization written by Roberto Battiti and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reactive Search and Intelligent Optimization is an excellent introduction to the main principles of reactive search, as well as an attempt to develop some fresh intuition for the approaches. The book looks at different optimization possibilities with an emphasis on opportunities for learning and self-tuning strategies. While focusing more on methods than on problems, problems are introduced wherever they help make the discussion more concrete, or when a specific problem has been widely studied by reactive search and intelligent optimization heuristics. Individual chapters cover reacting on the neighborhood; reacting on the annealing schedule; reactive prohibitions; model-based search; reacting on the objective function; relationships between reactive search and reinforcement learning; and much more. Each chapter is structured to show basic issues and algorithms; the parameters critical for the success of the different methods discussed; and opportunities for the automated tuning of these parameters.

Learning and Intelligent Optimization

Author : Roberto Battiti
Publisher : Springer
ISBN 13 : 3319694049
Total Pages : 390 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Learning and Intelligent Optimization by : Roberto Battiti

Download or read book Learning and Intelligent Optimization written by Roberto Battiti and published by Springer. This book was released on 2017-10-25 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Learning and Intelligent Optimization

Author : Roberto Battiti
Publisher : Springer
ISBN 13 : 3030053482
Total Pages : 487 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Learning and Intelligent Optimization by : Roberto Battiti

Download or read book Learning and Intelligent Optimization written by Roberto Battiti and published by Springer. This book was released on 2018-12-31 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Learning and Intelligent Optimization, LION 12, held in Kalamata, Greece, in June 2018. The 28 full papers and 12 short papers presented have been carefully reviewed and selected from 62 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

The Lion Way

Author : Roberto Battiti
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781496034021
Total Pages : 0 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis The Lion Way by : Roberto Battiti

Download or read book The Lion Way written by Roberto Battiti and published by Createspace Independent Publishing Platform. This book was released on 2014-02-21 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning and Intelligent Optimization (LION) is the combination of learning from data and optimization applied to solve complex and dynamic problems. The LION way is about increasing the automation level and connecting data directly to decisions and actions. More power is directly in the hands of decision makers in a self-service manner, without resorting to intermediate layers of data scientists. LION is a complex array of mechanisms, like the engine in an automobile, but the user (driver) does not need to know the inner workings of the engine in order to realize its tremendous benefits. LION's adoption will create a prairie fire of innovation which will reach most businesses in the next decades. Businesses, like plants in wildfire-prone ecosystems, will survive and prosper by adapting and embracing LION techniques, or they risk being transformed from giant trees to ashes by the spreading competition.

Learning and Intelligent Optimization

Author : Paola Festa
Publisher : Springer
ISBN 13 : 3319503499
Total Pages : 309 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Learning and Intelligent Optimization by : Paola Festa

Download or read book Learning and Intelligent Optimization written by Paola Festa and published by Springer. This book was released on 2016-11-29 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Learning and Optimization, LION 10, which was held on Ischia, Italy, in May/June 2016. The 14 full papers presented together with 9 short papers and 2 GENOPT papers were carefully reviewed and selected from 47 submissions. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to new ideas and methods; challenges and opportunities in various application areas; general trends, and specific developments.

Learning and Intelligent Optimization

Author : Clarisse Dhaenens
Publisher : Springer
ISBN 13 : 3319190849
Total Pages : 313 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Learning and Intelligent Optimization by : Clarisse Dhaenens

Download or read book Learning and Intelligent Optimization written by Clarisse Dhaenens and published by Springer. This book was released on 2015-06-18 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Learning and Optimization, LION 9, which was held in Lille, France, in January 2015. The 31 contributions presented were carefully reviewed and selected for inclusion in this book. The papers address all fields between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization, multi-objective, max-clique problems, bayesian optimization and global optimization, data mining and - in a special session - also on dynamic optimization.

Learning and Intelligent Optimization

Author : Giuseppe Nicosia
Publisher : Springer
ISBN 13 : 3642449735
Total Pages : 470 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Learning and Intelligent Optimization by : Giuseppe Nicosia

Download or read book Learning and Intelligent Optimization written by Giuseppe Nicosia and published by Springer. This book was released on 2013-11-26 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 7th International Conference on Learning and Optimization, LION 7, which was held in Catania, Italy, in January 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

Learning and Intelligent Optimization

Author : Christian Blum
Publisher : Springer Science & Business Media
ISBN 13 : 3642137997
Total Pages : 357 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Learning and Intelligent Optimization by : Christian Blum

Download or read book Learning and Intelligent Optimization written by Christian Blum and published by Springer Science & Business Media. This book was released on 2010-07-07 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.

Learning and Intelligent Optimization

Author : Meinolf Sellmann
Publisher : Springer Nature
ISBN 13 : 3031445058
Total Pages : 628 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Learning and Intelligent Optimization by : Meinolf Sellmann

Download or read book Learning and Intelligent Optimization written by Meinolf Sellmann and published by Springer Nature. This book was released on 2023-11-25 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Learning and Intelligent Optimization, LION-17, held in Nice, France, during June 4–8, 2023. The 40 full papers presented have been carefully reviewed and selected from 83 submissions. They focus on all aspects of unleashing the potential of integrating machine learning and optimization approaches, including automatic heuristic selection, intelligent restart strategies, predict-then-optimize, Bayesian optimization, and learning to optimize.

Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics

Author : Thomas Stützle
Publisher : Springer Science & Business Media
ISBN 13 : 3642111688
Total Pages : 284 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics by : Thomas Stützle

Download or read book Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics written by Thomas Stützle and published by Springer Science & Business Media. This book was released on 2009-12-09 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Learning and Intelligent Optimization, LION 2009 III, held in Trento, Italy, in January 2009. The 15 revised full papers, one extended abstract and two poster sessions were carefully reviewed and selected from 86 submissions for inclusion in the book. The papers cover current issues of stochastic local search methods and meta-heuristics, hybridizations of constraint and mathematical programming with meta-heuristics, supervised, unsupervised and reinforcement learning applied to heuristic search, reactive search (online self-tuning methods), algorithm portfolios and off-line tuning methods, algorithms for dynamic, stochastic and multi-objective problems, interface(s) between discrete and continuous optimization, experimental analysis and modeling of algorithms, theoretical foundations, parallelization of optimization algorithms, memory-based optimization, prohibition-based methods (tabu search), memetic algorithms, evolutionary algorithms, dynamic local search, iterated local search, variable neighborhood search and swarm intelligence methods (ant colony optimization, particle swarm optimization etc.).

Optimization in Machine Learning and Applications

Author : Anand J. Kulkarni
Publisher : Springer Nature
ISBN 13 : 9811509948
Total Pages : 202 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Optimization in Machine Learning and Applications by : Anand J. Kulkarni

Download or read book Optimization in Machine Learning and Applications written by Anand J. Kulkarni and published by Springer Nature. This book was released on 2019-11-29 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses one of the major applications of artificial intelligence: the use of machine learning to extract useful information from multimodal data. It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making. The book also presents formulations of real-world machine learning problems, and discusses AI solution methodologies as standalone or hybrid approaches. Lastly, it proposes novel metaheuristic methods to solve complex machine learning problems. Featuring valuable insights, the book helps readers explore new avenues leading toward multidisciplinary research discussions.

Intelligent Computing & Optimization

Author : Pandian Vasant
Publisher : Springer Nature
ISBN 13 : 3030932478
Total Pages : 1020 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Intelligent Computing & Optimization by : Pandian Vasant

Download or read book Intelligent Computing & Optimization written by Pandian Vasant and published by Springer Nature. This book was released on 2021-12-30 with total page 1020 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the scientific results of the fourth edition of the International Conference on Intelligent Computing and Optimization which took place at December 30–31, 2021, via ZOOM. The conference objective was to celebrate “Compassion and Wisdom” with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation—marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings encloses the original and innovative scientific fields of optimization and optimal control, renewable energy and sustainability, artificial intelligence and operational research, economics and management, smart cities and rural planning, meta-heuristics and big data analytics, cyber security and blockchains, IoTs and Industry 4.0, mathematical modelling and simulation, health care and medicine.

Artificial Intelligence in Industrial Applications

Author : Steven Lawrence Fernandes
Publisher : Springer Nature
ISBN 13 : 3030853837
Total Pages : 203 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence in Industrial Applications by : Steven Lawrence Fernandes

Download or read book Artificial Intelligence in Industrial Applications written by Steven Lawrence Fernandes and published by Springer Nature. This book was released on 2021-12-07 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.