Experimental Methods for the Analysis of Optimization Algorithms

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Publisher : Springer Science & Business Media
ISBN 13 : 3642025382
Total Pages : 469 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Experimental Methods for the Analysis of Optimization Algorithms by : Thomas Bartz-Beielstein

Download or read book Experimental Methods for the Analysis of Optimization Algorithms written by Thomas Bartz-Beielstein and published by Springer Science & Business Media. This book was released on 2010-11-02 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should follow accepted principles that guarantee the reliability and reproducibility of results. However, computational experiments differ from those in other sciences, and the last decade has seen considerable methodological research devoted to understanding the particular features of such experiments and assessing the related statistical methods. This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring and tuning algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributor list includes leading scientists in algorithm design, statistical design, optimization and heuristics, and most chapters provide theoretical background and are enriched with case studies. This book is written for researchers and practitioners in operations research and computer science who wish to improve the experimental assessment of optimization algorithms and, consequently, their design.

Creativity in Intelligent Technologies and Data Science

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Publisher : Springer Nature
ISBN 13 : 3030870340
Total Pages : 627 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Creativity in Intelligent Technologies and Data Science by : Alla G. Kravets

Download or read book Creativity in Intelligent Technologies and Data Science written by Alla G. Kravets and published by Springer Nature. This book was released on 2021-09-15 with total page 627 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th Conference on Creativity in Intellectual Technologies and Data Science, CIT&DS 2021, held in Volgograd, Russia, in September 2021. The 39 full papers, 7 short papers, and 2 keynote papers presented were carefully reviewed and selected from 182 submissions. The papers are organized in the following topical sections: Artificial intelligence and deep learning technologies: knowledge discovery in patent and open sources; open science semantic technologies; IoT and computer vision in knowledge-based control; Cyber-physical systems and big data-driven control: pro-active modeling in intelligent decision making support; design creativity in CASE/CAI/CAD/PDM; intelligent technologies in urban design and computing; Intelligent technologies in social engineering: data science in social networks analysis and cyber security; educational creativity and game-based learning; intelligent assistive technologies: software design and application.

Financial Decision Aid Using Multiple Criteria

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Publisher : Springer
ISBN 13 : 3319688766
Total Pages : 246 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Financial Decision Aid Using Multiple Criteria by : Hatem Masri

Download or read book Financial Decision Aid Using Multiple Criteria written by Hatem Masri and published by Springer. This book was released on 2018-01-17 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.

Hyperparameter Tuning for Machine and Deep Learning with R

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Publisher : Springer Nature
ISBN 13 : 9811951705
Total Pages : 327 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Hyperparameter Tuning for Machine and Deep Learning with R by : Eva Bartz

Download or read book Hyperparameter Tuning for Machine and Deep Learning with R written by Eva Bartz and published by Springer Nature. This book was released on 2023-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. The case studies presented in this book can be run on a regular desktop or notebook computer. No high-performance computing facilities are required. The idea for the book originated in a study conducted by Bartz & Bartz GmbH for the Federal Statistical Office of Germany (Destatis). Building on that study, the book is addressed to practitioners in industry as well as researchers, teachers and students in academia. The content focuses on the hyperparameter tuning of ML and DL algorithms, and is divided into two main parts: theory (Part I) and application (Part II). Essential topics covered include: a survey of important model parameters; four parameter tuning studies and one extensive global parameter tuning study; statistical analysis of the performance of ML and DL methods based on severity; and a new, consensus-ranking-based way to aggregate and analyze results from multiple algorithms. The book presents analyses of more than 30 hyperparameters from six relevant ML and DL methods, and provides source code so that users can reproduce the results. Accordingly, it serves as a handbook and textbook alike.

Advances in Metaheuristics

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Publisher : Springer Science & Business Media
ISBN 13 : 146146322X
Total Pages : 193 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Advances in Metaheuristics by : Luca Di Gaspero

Download or read book Advances in Metaheuristics written by Luca Di Gaspero and published by Springer Science & Business Media. This book was released on 2013-03-01 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have been devised, they have been experimentally tested and improved on challenging benchmark problems, and they have proven to be important tools for tackling optimization tasks in a large number of practical applications. In other words, metaheuristics are nowadays established as one of the main search paradigms for tackling computationally hard problems. Still, there are a large number of research challenges in the area of metaheuristics. These challenges range from more fundamental questions on theoretical properties and performance guarantees, empirical algorithm analysis, the effective configuration of metaheuristic algorithms, approaches to combine metaheuristics with other algorithmic techniques, towards extending the available techniques to tackle ever more challenging problems. This edited volume grew out of the contributions presented at the ninth Metaheuristics International Conference that was held in Udine, Italy, 25-28 July 2011. The conference comprised 117 presentations of peer-reviewed contributions and 3 invited talks, and it has been attended by 169 delegates. The chapters that are collected in this book exemplify contributions to several of the research directions outlined above.

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V

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Publisher : Springer
ISBN 13 : 3319074946
Total Pages : 329 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V by : Alexandru-Adrian Tantar

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V written by Alexandru-Adrian Tantar and published by Springer. This book was released on 2014-06-04 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume encloses research articles that were presented at the EVOLVE 2014 International Conference in Beijing, China, July 1–4, 2014. The book gathers contributions that emerged from the conference tracks, ranging from probability to set oriented numerics and evolutionary computation; all complemented by the bridging purpose of the conference, e.g. Complex Networks and Landscape Analysis, or by the more application oriented perspective. The novelty of the volume, when considering the EVOLVE series, comes from targeting also the practitioner’s view. This is supported by the Machine Learning Applied to Networks and Practical Aspects of Evolutionary Algorithms tracks, providing surveys on new application areas, as in the networking area and useful insights in the development of evolutionary techniques, from a practitioner’s perspective. Complementary to these directions, the conference tracks supporting the volume, follow on the individual advancements of the subareas constituting the scope of the conference, through the Computational Game Theory, Local Search and Optimization, Genetic Programming, Evolutionary Multi-objective optimization tracks.

Matheuristics

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Publisher : Springer Nature
ISBN 13 : 3030702774
Total Pages : 222 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Matheuristics by : Vittorio Maniezzo

Download or read book Matheuristics written by Vittorio Maniezzo and published by Springer Nature. This book was released on 2021-04-29 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first comprehensive tutorial on matheuristics. Matheuristics are based on mathematical extensions of previously known heuristics, mainly metaheuristics, and on original, area-specific approaches. This tutorial provides a detailed discussion of both contributions, presenting the pseudocodes of over 40 algorithms, abundant literature references, and for each case a step-by-step description of a sample run on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository.

Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations

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Publisher : IGI Global
ISBN 13 : 1466697806
Total Pages : 620 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations by : Ochoa-Zezzatti, Alberto

Download or read book Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations written by Ochoa-Zezzatti, Alberto and published by IGI Global. This book was released on 2016-02-02 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Effective logistics management has played a vital role in delivering products and services, and driving research into finding ever improving theoretical and technological solutions. While often thought of in terms of the business world, logistics and operations management strategies can also be effectively applied within the military, aeronautical, and maritime sectors. The Handbook of Research on Military, Aeronautical, and Maritime Logistics and Operations compiles interdisciplinary research on diverse issues related to logistics from an inclusive range of methodological perspectives. This publication focuses on original contributions in the form of theoretical, experimental research, and case studies on logistics strategies and operations management with an emphasis on military, aeronautical, and maritime environments. Academics and professionals operating in business environments, government institutions, and military research will find this publication beneficial to their research and professional endeavors.

Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016

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Publisher : KIT Scientific Publishing
ISBN 13 : 3731505886
Total Pages : 294 pages
Book Rating : 4.7/5 (315 download)

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Book Synopsis Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016 by : Hoffmann, Frank

Download or read book Proceedings. 26. Workshop Computational Intelligence, Dortmund, 24. - 25. November 2016 written by Hoffmann, Frank and published by KIT Scientific Publishing. This book was released on 2016-11-14 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications

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Publisher : IGI Global
ISBN 13 : 179981520X
Total Pages : 429 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications by : Carrillo-Cedillo, Eugenia Gabriela

Download or read book Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications written by Carrillo-Cedillo, Eugenia Gabriela and published by IGI Global. This book was released on 2019-12-13 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.

Experimental Algorithms

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Publisher : Springer
ISBN 13 : 364220662X
Total Pages : 469 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Experimental Algorithms by : Panos M. Pardalos

Download or read book Experimental Algorithms written by Panos M. Pardalos and published by Springer. This book was released on 2011-04-21 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 10th International Symposium on Experimental Algorithms, SEA 2011, held in Kolimpari, Chania, Crete, Greece, in May 2011. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 83 submissions and present current research in the area of design, analysis, and experimental evaluation and engineering of algorithms, as well as in various aspects of computational optimization and its applications.

Advances in Swarm Intelligence

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Publisher : Springer
ISBN 13 : 303026369X
Total Pages : 470 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer. This book was released on 2019-07-18 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set of LNCS 11655 and 11656 constitutes the proceedings of the 10th International Conference on Advances in Swarm Intelligence, ICSI 2019, held in Chiang Mai, Thailand, in June 2019. The total of 82 papers presented in these volumes was carefully reviewed and selected from 179 submissions. The papers were organized in topical sections as follows: Part I: Novel methods and algorithms for optimization; particle swarm optimization; ant colony optimization; fireworks algorithms and brain storm optimization; swarm intelligence algorithms and improvements; genetic algorithm and differential evolution; swarm robotics. Part II: Multi-agent system; multi-objective optimization; neural networks; machine learning; identification and recognition; social computing and knowledge graph; service quality and energy management.

Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision

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Publisher : CRC Press
ISBN 13 : 1351857576
Total Pages : 3160 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision by : Robby Caspeele

Download or read book Life Cycle Analysis and Assessment in Civil Engineering: Towards an Integrated Vision written by Robby Caspeele and published by CRC Press. This book was released on 2018-10-31 with total page 3160 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at IALCCE2018, the Sixth International Symposium on Life-Cycle Civil Engineering (IALCCE2018), held in Ghent, Belgium, October 28-31, 2018. It consists of a book of extended abstracts and a USB device with full papers including the Fazlur R. Khan lecture, 8 keynote lectures, and 390 technical papers from all over the world. Contributions relate to design, inspection, assessment, maintenance or optimization in the framework of life-cycle analysis of civil engineering structures and infrastructure systems. Life-cycle aspects that are developed and discussed range from structural safety and durability to sustainability, serviceability, robustness and resilience. Applications relate to buildings, bridges and viaducts, highways and runways, tunnels and underground structures, off-shore and marine structures, dams and hydraulic structures, prefabricated design, infrastructure systems, etc. During the IALCCE2018 conference a particular focus is put on the cross-fertilization between different sub-areas of expertise and the development of an overall vision for life-cycle analysis in civil engineering. The aim of the editors is to provide a valuable source of cutting edge information for anyone interested in life-cycle analysis and assessment in civil engineering, including researchers, practising engineers, consultants, contractors, decision makers and representatives from local authorities.

Artificial Evolution

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Publisher : Springer
ISBN 13 : 3642355331
Total Pages : 241 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Artificial Evolution by : Jin-Kao Hao

Download or read book Artificial Evolution written by Jin-Kao Hao and published by Springer. This book was released on 2012-11-28 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected best papers from the 10th International Conference on Artificial Evolution, EA 2011, held in Angers, France, in October 2011. Initially, 33 full papers and 10 post papers were carefully reviewed and selected from 64 submissions. This book presents the 19 best papers selected from these contributions. The papers are organized in topical sections on ant colony optimization; multi-objective optimization; analysis; implementation and robotics; combinatorial optimization; learning and parameter tuning; new nature inspired models; probabilistic algorithms; theory and evolutionary search; and applications.

Advances in Knowledge Discovery and Data Mining

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Publisher : Springer Nature
ISBN 13 : 3030757625
Total Pages : 865 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : Kamal Karlapalem

Download or read book Advances in Knowledge Discovery and Data Mining written by Kamal Karlapalem and published by Springer Nature. This book was released on 2021-05-08 with total page 865 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.

Integration of Constraint Programming, Artificial Intelligence, and Operations Research

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Publisher : Springer Nature
ISBN 13 : 3030589420
Total Pages : 559 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Integration of Constraint Programming, Artificial Intelligence, and Operations Research by : Emmanuel Hebrard

Download or read book Integration of Constraint Programming, Artificial Intelligence, and Operations Research written by Emmanuel Hebrard and published by Springer Nature. This book was released on 2020-09-18 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume LNCS 12296 constitutes the papers of the 17th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research which will be held online in September 2020. The 32 regular papers presented together with 4 abstracts of fast-track papers were carefully reviewed and selected from a total of 72 submissions. Additionally, this volume includes the 4 abstracts and 2 invited papers by plenary speakers. The conference program also included a Master Class on the topic “Recent Advances in Optimization Paradigms and Solving Technology"

Business Analytics for Decision Making

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Publisher : CRC Press
ISBN 13 : 1315362597
Total Pages : 308 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Business Analytics for Decision Making by : Steven Orla Kimbrough

Download or read book Business Analytics for Decision Making written by Steven Orla Kimbrough and published by CRC Press. This book was released on 2018-09-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.