Learning And Intelligent Optimization

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Learning and Intelligent Optimization

Ilias S. Kotsireas,Panos M. Pardalos
Learning and Intelligent Optimization Book PDF

Author : Ilias S. Kotsireas,Panos M. Pardalos
Publisher : Springer
Page : 430 pages
File Size : 55,5 Mb
Release : 2020-07-18
Category : Mathematics
ISBN : 3030535517

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Learning and Intelligent Optimization by Ilias S. Kotsireas,Panos M. Pardalos Pdf

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

Meinolf Sellmann,Kevin Tierney
Learning and Intelligent Optimization Book PDF

Author : Meinolf Sellmann,Kevin Tierney
Publisher : Springer Nature
Page : 628 pages
File Size : 41,8 Mb
Release : 2023-11-25
Category : Mathematics
ISBN : 9783031445057

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Learning and Intelligent Optimization by Meinolf Sellmann,Kevin Tierney Pdf

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

Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsireas
Learning and Intelligent Optimization Book PDF

Author : Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsireas
Publisher : Springer Nature
Page : 423 pages
File Size : 48,7 Mb
Release : 2021-12-08
Category : Mathematics
ISBN : 9783030921217

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Learning and Intelligent Optimization by Dimitris E. Simos,Panos M. Pardalos,Ilias S. Kotsireas Pdf

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

Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos
Learning and Intelligent Optimization Book PDF

Author : Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos
Publisher : Springer
Page : 0 pages
File Size : 43,8 Mb
Release : 2019-01-01
Category : Computers
ISBN : 3030053474

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Learning and Intelligent Optimization by Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos Pdf

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

Roberto Battiti,Mauro Brunato,Franco Mascia
Reactive Search and Intelligent Optimization Book PDF

Author : Roberto Battiti,Mauro Brunato,Franco Mascia
Publisher : Springer Science & Business Media
Page : 198 pages
File Size : 49,8 Mb
Release : 2008-12-16
Category : Business & Economics
ISBN : 9780387096247

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Reactive Search and Intelligent Optimization by Roberto Battiti,Mauro Brunato,Franco Mascia Pdf

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: Designing, Implementing and Analyzing Effective Heuristics

Thomas Stützle
Learning and Intelligent Optimization Designing Implementing and Analyzing Effective Heuristics Book PDF

Author : Thomas Stützle
Publisher : Springer Science & Business Media
Page : 284 pages
File Size : 48,5 Mb
Release : 2009-12-09
Category : Computers
ISBN : 9783642111686

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

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.).

Learning and Intelligent Optimization

Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos
Learning and Intelligent Optimization Book PDF

Author : Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos
Publisher : Springer
Page : 487 pages
File Size : 51,8 Mb
Release : 2018-12-31
Category : Computers
ISBN : 9783030053482

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Learning and Intelligent Optimization by Roberto Battiti,Mauro Brunato,Ilias Kotsireas,Panos M. Pardalos Pdf

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

Roberto Battiti,Mauro Brunato
The Lion Way Book PDF

Author : Roberto Battiti,Mauro Brunato
Publisher : Createspace Independent Publishing Platform
Page : 0 pages
File Size : 54,7 Mb
Release : 2014-02-21
Category : Artificial intelligence
ISBN : 1496034023

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The Lion Way by Roberto Battiti,Mauro Brunato Pdf

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

Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev
Learning and Intelligent Optimization Book PDF

Author : Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev
Publisher : Springer
Page : 390 pages
File Size : 46,5 Mb
Release : 2017-10-25
Category : Computers
ISBN : 9783319694047

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Learning and Intelligent Optimization by Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev Pdf

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

Paola Festa,Meinolf Sellmann,Joaquin Vanschoren
Learning and Intelligent Optimization Book PDF

Author : Paola Festa,Meinolf Sellmann,Joaquin Vanschoren
Publisher : Springer
Page : 309 pages
File Size : 42,7 Mb
Release : 2016-11-29
Category : Computers
ISBN : 9783319503493

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Learning and Intelligent Optimization by Paola Festa,Meinolf Sellmann,Joaquin Vanschoren Pdf

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.

Advances in Learning Automata and Intelligent Optimization

Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi
Advances in Learning Automata and Intelligent Optimization Book PDF

Author : Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi
Publisher : Springer Nature
Page : 340 pages
File Size : 46,5 Mb
Release : 2021-06-23
Category : Technology & Engineering
ISBN : 9783030762919

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Advances in Learning Automata and Intelligent Optimization by Javidan Kazemi Kordestani,Mehdi Razapoor Mirsaleh,Alireza Rezvanian,Mohammad Reza Meybodi Pdf

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world optimization problems. The ever-increasing application of the LA as a promising reinforcement learning technique in artificial intelligence makes it necessary to provide scholars, scientists, and engineers with a practical discussion on LA solutions for optimization. The book starts with a brief introduction to LA models for optimization. Afterward, the research areas related to LA and optimization are addressed as bibliometric network analysis. Then, LA's application in behavior control in evolutionary computation, and memetic models of object migration automata and cellular learning automata for solving NP hard problems are considered. Next, an overview of multi-population methods for DOPs, LA's application in dynamic optimization problems (DOPs), and the function evaluation management in evolutionary multi-population for DOPs are discussed. Highlighted benefits • Presents the latest advances in learning automata-based optimization approaches. • Addresses the memetic models of learning automata for solving NP-hard problems. • Discusses the application of learning automata for behavior control in evolutionary computation in detail. • Gives the fundamental principles and analyses of the different concepts associated with multi-population methods for dynamic optimization problems.

Artificial Intelligence for Business Optimization

Bhuvan Unhelkar,Tad Gonsalves
Artificial Intelligence for Business Optimization Book PDF

Author : Bhuvan Unhelkar,Tad Gonsalves
Publisher : CRC Press
Page : 295 pages
File Size : 53,6 Mb
Release : 2021-08-09
Category : Business & Economics
ISBN : 9781000409475

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Artificial Intelligence for Business Optimization by Bhuvan Unhelkar,Tad Gonsalves Pdf

This book explains how AI and Machine Learning can be applied to help businesses solve problems, support critical thinking and ultimately create customer value and increase profit. By considering business strategies, business process modeling, quality assurance, cybersecurity, governance and big data and focusing on functions, processes, and people’s behaviors it helps businesses take a truly holistic approach to business optimization. It contains practical examples that make it easy to understand the concepts and apply them. It is written for practitioners (consultants, senior executives, decision-makers) dealing with real-life business problems on a daily basis, who are keen to develop systematic strategies for the application of AI/ML/BD technologies to business automation and optimization, as well as researchers who want to explore the industrial applications of AI and higher-level students.

Learning and Intelligent Optimization

Nikolaos F. Matsatsinis,Yannis Marinakis,Panos Pardalos
Learning and Intelligent Optimization Book PDF

Author : Nikolaos F. Matsatsinis,Yannis Marinakis,Panos Pardalos
Publisher : Springer Nature
Page : 412 pages
File Size : 43,9 Mb
Release : 2020-01-21
Category : Mathematics
ISBN : 9783030386290

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Learning and Intelligent Optimization by Nikolaos F. Matsatsinis,Yannis Marinakis,Panos Pardalos Pdf

This book constitutes the thoroughly refereed pChania, Crete, Greece, in May 2019. The 38 full papers presented have been carefully reviewed and selected from 52 submissions. The papers focus on advancedresearch developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications in optimization and machine learning.

Learning and Intelligent Optimization

Clarisse Dhaenens,Laetitia Jourdan,Marie-Eléonore Marmion
Learning and Intelligent Optimization Book PDF

Author : Clarisse Dhaenens,Laetitia Jourdan,Marie-Eléonore Marmion
Publisher : Springer
Page : 313 pages
File Size : 55,6 Mb
Release : 2015-06-18
Category : Computers
ISBN : 9783319190846

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Learning and Intelligent Optimization by Clarisse Dhaenens,Laetitia Jourdan,Marie-Eléonore Marmion Pdf

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

Ilias S. Kotsireas,Panos M. Pardalos
Learning and Intelligent Optimization Book PDF

Author : Ilias S. Kotsireas,Panos M. Pardalos
Publisher : Springer Nature
Page : 443 pages
File Size : 52,9 Mb
Release : 2020-07-17
Category : Mathematics
ISBN : 9783030535520

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Learning and Intelligent Optimization by Ilias S. Kotsireas,Panos M. Pardalos Pdf

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.