Genetic Algorithms In Optimisation Simulation And Modelling

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Genetic Algorithms In Optimisation Simulation And Modelling

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Author : Joachim Stender
language : en
Publisher: IOS Press
Release Date : 1994

Genetic Algorithms In Optimisation Simulation And Modelling written by Joachim Stender and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.

This book examines the implementation and applications of genetic algorithms (GA) to the domain of AI.In recent years the trend towards, real world applications is fgaining ground especially in GA. The general purpose nature of GA is examined from an interdiciplinary point of view. Despite the differences that may exist in between representations across domain problems the commonality of in the design of GA is upheld. This work provides an overview of the current developments in Europe a section is devoted to the progrmamming of Parallel Genetic Algorithms (including GAME) and a section on Optimisation and Complex Modelling. Readers: researchers in AI, mathematics and computing.

Evolutionary Algorithms And Agricultural Systems

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Author : David G. Mayer
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30

Evolutionary Algorithms And Agricultural Systems written by David G. Mayer 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 2001-11-30 with Computers categories.

Evolutionary Algorithms and Agricultural Systems deals with the practical application of evolutionary algorithms to the study and management of agricultural systems. The rationale of systems research methodology is introduced, and examples listed of real-world applications. It is the integration of these agricultural systems models with optimization techniques, primarily genetic algorithms, which forms the focus of this book. The advantages are outlined, with examples of agricultural models ranging from national and industry-wide studies down to the within-farm scale. The potential problems of this approach are also discussed, along with practical methods of resolving these problems. Agricultural applications using alternate optimization techniques (gradient and direct-search methods, simulated annealing and quenching, and the tabu search strategy) are also listed and discussed. The particular problems and methodologies of these algorithms, including advantageous features that may benefit a hybrid approach or be usefully incorporated into evolutionary algorithms, are outlined. From consideration of this and the published examples, it is concluded that evolutionary algorithms are the superior method for the practical optimization of models of agricultural and natural systems. General recommendations on robust options and parameter settings for evolutionary algorithms are given for use in future studies. Evolutionary Algorithms and Agricultural Systems will prove useful to practitioners and researchers applying these methods to the optimization of agricultural or natural systems, and would also be suited as a text for systems management, applied modeling, or operations research.

Evolve A Bridge Between Probability Set Oriented Numerics And Evolutionary Computation V

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Author : Alexandru-Adrian Tantar
language : en
Publisher: Springer
Release Date : 2014-06-04

Evolve A Bridge Between Probability Set Oriented Numerics And Evolutionary Computation V written by Alexandru-Adrian Tantar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-04 with Computers categories.

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.

New Perspectives On Optimization Algorithms Research

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Author : Germano Lambert-Torres
language : en
Publisher: BoD – Books on Demand
Release Date : 2025-07-16

New Perspectives On Optimization Algorithms Research written by Germano Lambert-Torres and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Mathematics categories.

Optimization processes are present in nearly all human activities, aiming to reduce time and expenses, conserve resources, and maximize efficiency. Classical numerical optimization methods were initially employed in more complex or elaborate problems. This class of methods was convenient to use when equations could correctly and completely formulate all the attributes of the problem to be optimized and whose search space for the solution had convexity characteristics and was not multimodal. Expressing a problem completely through equations is often a difficult (if not impossible) task because linguistic values or employing quantities that are not easily dealt with by classical optimization methods can only describe certain limitations and barriers. Irregular and non-convex search spaces also present problems for classical methods, especially those with multiple local minima and maxima, as they can lead to suboptimal solutions. In this context, researchers in optimization have presented new techniques to overcome these barriers, introducing new concepts and methods that enable working with problems that are not well-defined and in multimodal search spaces. Many of these techniques utilize artificial intelligence methods, and it is possible to optimize problems where their limitations are not clearly defined or where their search spaces contain different local maxima and minima. This book is a contribution in this sense. In it, the reader will find two sections. The first, titled "Methodologies", presents the frontier of state-of-the-art optimization techniques and their applications to various problems. The second section, titled "Applications," presents examples of practical applications of modern techniques in optimizing issues, which can be easily adapted to others with similar characteristics. Thus, the reader can use this book to optimize their problems by applying the solutions presented in the chapters and adapting them to their specific issues.

Treatise On Geomorphology

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Author :
language : en
Publisher: Academic Press
Release Date : 2013-02-27

Treatise On Geomorphology written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-27 with Science categories.

The changing focus and approach of geomorphic research suggests that the time is opportune for a summary of the state of discipline. The number of peer-reviewed papers published in geomorphic journals has grown steadily for more than two decades and, more importantly, the diversity of authors with respect to geographic location and disciplinary background (geography, geology, ecology, civil engineering, computer science, geographic information science, and others) has expanded dramatically. As more good minds are drawn to geomorphology, and the breadth of the peer-reviewed literature grows, an effective summary of contemporary geomorphic knowledge becomes increasingly difficult. The fourteen volumes of this Treatise on Geomorphology will provide an important reference for users from undergraduate students looking for term paper topics, to graduate students starting a literature review for their thesis work, and professionals seeking a concise summary of a particular topic. Information on the historical development of diverse topics within geomorphology provides context for ongoing research; discussion of research strategies, equipment, and field methods, laboratory experiments, and numerical simulations reflect the multiple approaches to understanding Earth’s surfaces; and summaries of outstanding research questions highlight future challenges and suggest productive new avenues for research. Our future ability to adapt to geomorphic changes in the critical zone very much hinges upon how well landform scientists comprehend the dynamics of Earth’s diverse surfaces. This Treatise on Geomorphology provides a useful synthesis of the state of the discipline, as well as highlighting productive research directions, that Educators and students/researchers will find useful. Geomorphology has advanced greatly in the last 10 years to become a very interdisciplinary field. Undergraduate students looking for term paper topics, to graduate students starting a literature review for their thesis work, and professionals seeking a concise summary of a particular topic will find the answers they need in this broad reference work which has been designed and written to accommodate their diverse backgrounds and levels of understanding Editor-in-Chief, Prof. J. F. Shroder of the University of Nebraska at Omaha, is past president of the QG&G section of the Geological Society of America and present Trustee of the GSA Foundation, while being well respected in the geomorphology research community and having won numerous awards in the field. A host of noted international geomorphologists have contributed state-of-the-art chapters to the work. Readers can be guaranteed that every chapter in this extensive work has been critically reviewed for consistency and accuracy by the World expert Volume Editors and by the Editor-in-Chief himself No other reference work exists in the area of Geomorphology that offers the breadth and depth of information contained in this 14-volume masterpiece. From the foundations and history of geomorphology through to geomorphological innovations and computer modelling, and the past and future states of landform science, no "stone" has been left unturned!

Fundamenta Informaticae

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Author : Polskie Towarzystwo Matematyczne
language : en
Publisher:
Release Date : 1995

Fundamenta Informaticae written by Polskie Towarzystwo Matematyczne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Artificial intelligence categories.

Intelligent Systems And Financial Forecasting

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Author : Jason Kingdon
language : en
Publisher: Springer
Release Date : 1997-04-28

Intelligent Systems And Financial Forecasting written by Jason Kingdon and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-28 with Business & Economics categories.

This book examines the design of an automated system for financial time series forecasting. It explores the level of automation which can be achieved by a system for modelling a given financial time series with the minimum of human intervention. It aims to help the reader understand the issues involved in setting neural network, or genetic algorithm parameters, and to develop methods to deal with the problems they raise in a practical manner. Intelligent Systems and Financial Forecasting will provide invaluable reading material for academic and industrial researchers (particularly those with an interest in the application of adaptive system technology), information technology consultants applying adaptive system techniques, and graduate/postgraduate students in machine learning, AI, business modelling and finance.

Model Based Reasoning About Learner Behaviour

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Author : Kees de Koning
language : en
Publisher:
Release Date : 1997

Model Based Reasoning About Learner Behaviour written by Kees de Koning and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Artificial intelligence categories.

Advanced Research On Industry Information System And Material Engineering Iisme2011

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Author : Helen Zhang
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-02-21

Advanced Research On Industry Information System And Material Engineering Iisme2011 written by Helen Zhang and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-21 with Technology & Engineering categories.

Selected,peer reviewed papers from the 2011 International Conference on Industry, Information System and Material Engineering (IISME 2011), April 16-17, 2011, Guangzhou, China

Natural Computing For Simulation Based Optimization And Beyond

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Author : Silja Meyer-Nieberg
language : en
Publisher: Springer
Release Date : 2019-07-26

Natural Computing For Simulation Based Optimization And Beyond written by Silja Meyer-Nieberg and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with Business & Economics categories.

This SpringerBrief bridges the gap between the areas of simulation studies on the one hand, and optimization with natural computing on the other. Since natural computing methods have been applied with great success in several application areas, a review concerning potential benefits and pitfalls for simulation studies is merited. The brief presents such an overview and combines it with an introduction to natural computing and selected major approaches, as well as with a concise treatment of general simulation-based optimization. As such, it is the first review which covers both the methodological background and recent application cases. The brief is intended to serve two purposes: First, it can be used to gain more information concerning natural computing, its major dialects, and their usage for simulation studies. It also covers the areas of multi-objective optimization and neuroevolution. While the latter is only seldom mentioned in connection withsimulation studies, it is a powerful potential technique. Second, the reader is provided with an overview of several areas of simulation-based optimization which range from logistic problems to engineering tasks. Additionally, the brief focuses on the usage of surrogate and meta-models. The brief presents recent application examples.