Genetic Algorithms in Applications, Asa Bensten

Автор: Kang Min-wook, Schonfeld Paul
Название: Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments
ISBN: 9813272805 ISBN-13(EAN): 9789813272804
Издательство: World Scientific Publishing
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Цена: 95040.00 T
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Описание: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Автор: Agarwal, Dr Basant, Baka, Benjamin
Название: Hands-On Data Structures and Algorithms with Python 2 ed
ISBN: 1788995570 ISBN-13(EAN): 9781788995573
Издательство: Неизвестно
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Цена: 53940.00 T
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Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.

Автор: Jones Sam
Название: Genetic Algorithms: Practical Applications
ISBN: 1632402483 ISBN-13(EAN): 9781632402486
Издательство: Неизвестно
Цена: 160870.00 T
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Автор: Mutingi Michael, Mbohwa Charles
Название: Grouping Genetic Algorithms: Advances and Applications
ISBN: 3319830481 ISBN-13(EAN): 9783319830483
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment.

Автор: Berkovsky Shlomo, Cantador Ivan, Tikk Domonkos
Название: Collaborative Recommendations: Algorithms, Practical Challenges and Applications
ISBN: 9813275340 ISBN-13(EAN): 9789813275348
Издательство: World Scientific Publishing
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Цена: 258720.00 T
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Описание:

Recommender systems are very popular nowadays, as both an academic research field and services provided by numerous companies for e-commerce, multimedia and Web content. Collaborative-based methods have been the focus of recommender systems research for more than two decades.

The unique feature of the compendium is the technical details of collaborative recommenders. The book chapters include algorithm implementations, elaborate on practical issues faced when deploying these algorithms in large-scale systems, describe various optimizations and decisions made, and list parameters of the algorithms.

This must-have title is a useful reference materials for researchers, IT professionals and those keen to incorporate recommendation technologies into their systems and services.

Автор: Emmanouil Amolochitis
Название: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining
ISBN: 8793609647 ISBN-13(EAN): 9788793609648
Издательство: Taylor&Francis
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Цена: 78590.00 T
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Описание: Algorithms and Applications for Academic Search, Recommendation and Quantitative Association Rule Mining presents novel algorithms for academic search, recommendation and association rule mining that have been developed and optimized for different commercial as well as academic purpose systems. Along with the design and implementation of algorithms, a major part of the work presented in the book involves the development of new systems both for commercial as well as for academic use. In the first part of the book the author introduces a novel hierarchical heuristic scheme for re-ranking academic publications retrieved from standard digital libraries. The scheme is based on the hierarchical combination of a custom implementation of the term frequency heuristic, a time-depreciated citation score and a graph-theoretic computed score that relates the paper’s index terms with each other. In order to evaluate the performance of the introduced algorithms, a meta-search engine has been designed and developed that submits user queries to standard digital repositories of academic publications and re-ranks the top-n results using the introduced hierarchical heuristic scheme. In the second part of the book the design of novel recommendation algorithms with application in different types of e-commerce systems are described. The newly introduced algorithms are a part of a developed Movie Recommendation system, the first such system to be commercially deployed in Greece by a major Triple Play services provider. The initial version of the system uses a novel hybrid recommender (user, item and content based) and provides daily recommendations to all active subscribers of the provider (currently more than 30,000). The recommenders that we are presenting are hybrid by nature, using an ensemble configuration of different content, user as well as item-based recommenders in order to provide more accurate recommendation results.The final part of the book presents the design of a quantitative association rule mining algorithm. Quantitative association rules refer to a special type of association rules of the form that antecedent implies consequent consisting of a set of numerical or quantitative attributes. The introduced mining algorithm processes a specific number of user histories in order to generate a set of association rules with a minimally required support and confidence value. The generated rules show strong relationships that exist between the consequent and the antecedent of each rule, representing different items that have been consumed at specific price levels. This research book will be of appeal to researchers, graduate students, professionals, engineers and computer programmers.

Автор: D Jude Hemanth
Название: Recent advances on memetic algorithms and its applications in image processing
ISBN: 9811513619 ISBN-13(EAN): 9789811513619
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book includes original research findings in the field of memetic algorithms for image processing applications.

Автор: Adam Slowik
Название: Swarm Intelligence Algorithms: Modifications and Applications
ISBN: 1138391018 ISBN-13(EAN): 9781138391017
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Невозможна поставка.
Описание: This book presents 24 swarm algorithms together with their modifications and practical applications. Each chapter is devoted to one algorithm. In addition, each chapter contains a description of selected modifications of the algorithm and shows how it can be used to solve a selected practical problem.

Автор: Das, S.K., Das, S.P., Dey, N., Hassanien, A.-E.
Название: Machine Learning Algorithms for Industrial Applications
ISBN: 3030506401 ISBN-13(EAN): 9783030506407
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics.

Автор: Parker J J
Название: Algorithms for Image Processing and Computer Vision
ISBN: 0470643854 ISBN-13(EAN): 9780470643853
Издательство: Wiley
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Цена: 83430.00 T
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Описание: Programmers, scientists, and engineers are always in need of newer techniques and algorithms to manipulate and interpret images. Algorithms for Image Processing and Computer Vision is an accessible collection of algorithms for common image processing applications that simplifies complicated mathematical calculations.