Grouping Genetic Algorithms
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Grouping Genetic Algorithms
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Author : Michael Mutingi
language : en
Publisher: Springer
Release Date : 2016-10-04
Grouping Genetic Algorithms written by Michael Mutingi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-04 with Technology & Engineering categories.
This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Genetic Algorithms And Grouping Problems
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Author : Emanuel Falkenauer
language : en
Publisher: John Wiley & Sons
Release Date : 1998-04-22
Genetic Algorithms And Grouping Problems written by Emanuel Falkenauer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-22 with Computers categories.
A reader-friendly introduction to the exciting, vast potential of Genetic Algorithms. The book gives readers a general understanding of the concepts underlying the technology, an insight into its perceived benefits and failings, and a clear and practical illustration of how optimization problems can be solved more efficiently using Falkenauer's new class of algorithms.
Using Grouping Genetic Algorithms To Design Preventive Maintenance System
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Author : 楊元福
language : en
Publisher:
Release Date : 2006
Using Grouping Genetic Algorithms To Design Preventive Maintenance System written by 楊元福 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.
A Study On The Island Based Grouping Genetic Algorithms For Diverse Group Stock Portfolio Optimization
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Author : Wan-Yi Shen
language : en
Publisher:
Release Date : 2017
A Study On The Island Based Grouping Genetic Algorithms For Diverse Group Stock Portfolio Optimization written by Wan-Yi Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Using Genetic Algorithms For Attribute Grouping In Multivariate Microaggregation
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Author : Jordi BaIasch i Masoliver
language : en
Publisher:
Release Date : 2010
Using Genetic Algorithms For Attribute Grouping In Multivariate Microaggregation written by Jordi BaIasch i Masoliver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
State Of The Art In Global Optimization
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Author : Christodoulos A. Floudas
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
State Of The Art In Global Optimization written by Christodoulos A. Floudas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Mathematics categories.
Optimization problems abound in most fields of science, engineering, and tech nology. In many of these problems it is necessary to compute the global optimum (or a good approximation) of a multivariable function. The variables that define the function to be optimized can be continuous and/or discrete and, in addition, many times satisfy certain constraints. Global optimization problems belong to the complexity class of NP-hard prob lems. Such problems are very difficult to solve. Traditional descent optimization algorithms based on local information are not adequate for solving these problems. In most cases of practical interest the number of local optima increases, on the aver age, exponentially with the size of the problem (number of variables). Furthermore, most of the traditional approaches fail to escape from a local optimum in order to continue the search for the global solution. Global optimization has received a lot of attention in the past ten years, due to the success of new algorithms for solving large classes of problems from diverse areas such as engineering design and control, computational chemistry and biology, structural optimization, computer science, operations research, and economics. This book contains refereed invited papers presented at the conference on "State of the Art in Global Optimization: Computational Methods and Applications" held at Princeton University, April 28-30, 1995. The conference presented current re search on global optimization and related applications in science and engineering. The papers included in this book cover a wide spectrum of approaches for solving global optimization problems and applications.
Genetic Algorithms And Simulated Annealing
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Author : Lawrence Davis
language : en
Publisher: Pitman Publishing
Release Date : 1987
Genetic Algorithms And Simulated Annealing written by Lawrence Davis and has been published by Pitman Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
A Grouping Genetic Algorithm For The Pickup And Delivery Problem With Time Time Windows
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Author : Giselher Pankratz
language : en
Publisher:
Release Date : 2003
A Grouping Genetic Algorithm For The Pickup And Delivery Problem With Time Time Windows written by Giselher Pankratz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with categories.
Grouping Based On Complementary Degree And Social Network Analysis In Genetic Algorithm
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Author : 施國琛
language : en
Publisher:
Release Date : 2014
Grouping Based On Complementary Degree And Social Network Analysis In Genetic Algorithm written by 施國琛 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
Computational Intelligence For Big Data Analysis
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Author : D.P. Acharjya
language : en
Publisher: Springer
Release Date : 2015-04-21
Computational Intelligence For Big Data Analysis written by D.P. Acharjya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-21 with Technology & Engineering categories.
The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.