Evolutionary Algorithms And Agricultural Systems

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Evolutionary Algorithms and Agricultural Systems

Author : David G. Mayer
Publisher : Springer Science & Business Media
ISBN 13 : 1461517176
Total Pages : 110 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Evolutionary Algorithms and Agricultural Systems by : David G. Mayer

Download or read book Evolutionary Algorithms and Agricultural Systems written by David G. Mayer and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Evolutionary Algorithms and Agricultural Systems

Author : David G. Mayer
Publisher : Springer
ISBN 13 : 9780792375753
Total Pages : 0 pages
Book Rating : 4.3/5 (757 download)

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Book Synopsis Evolutionary Algorithms and Agricultural Systems by : David G. Mayer

Download or read book Evolutionary Algorithms and Agricultural Systems written by David G. Mayer and published by Springer. This book was released on 2001-11-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applications of Artificial Neural Networks and Genetic Algorithms to Agricultural Systems

Author : Y. Hashimoto
Publisher :
ISBN 13 :
Total Pages : 169 pages
Book Rating : 4.:/5 (312 download)

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Book Synopsis Applications of Artificial Neural Networks and Genetic Algorithms to Agricultural Systems by : Y. Hashimoto

Download or read book Applications of Artificial Neural Networks and Genetic Algorithms to Agricultural Systems written by Y. Hashimoto and published by . This book was released on 1997 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Success in Evolutionary Computation

Author : Yin Shan
Publisher : Springer Science & Business Media
ISBN 13 : 354076285X
Total Pages : 372 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Success in Evolutionary Computation by : Yin Shan

Download or read book Success in Evolutionary Computation written by Yin Shan and published by Springer Science & Business Media. This book was released on 2008-02-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Darwinian evolutionary theory is one of the most important theories in human history for it has equipped us with a valuable tool to understand the amazing world around us. There can be little surprise, therefore, that Evolutionary Computation (EC), inspired by natural evolution, has been so successful in providing high quality solutions in a large number of domains. EC includes a number of techniques, such as Genetic Algorithms, Genetic Programming, Evolution Strategy and Evolutionary Programming, which have been used in a diverse range of highly successful applications. This book brings together some of these EC applications in fields including electronics, telecommunications, health, bioinformatics, supply chain and other engineering domains, to give the audience, including both EC researchers and practitioners, a glimpse of this exciting rapidly evolving field.

Agri 4.0 and the Future of Cyber-Physical Agricultural Systems

Author : Seifedine Kadry
Publisher : Elsevier
ISBN 13 : 0443131864
Total Pages : 332 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Agri 4.0 and the Future of Cyber-Physical Agricultural Systems by : Seifedine Kadry

Download or read book Agri 4.0 and the Future of Cyber-Physical Agricultural Systems written by Seifedine Kadry and published by Elsevier. This book was released on 2024-04-16 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with the focus on the technologies, enabling the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery and consumption. The impact for food security may be significant and this book explores ways to implement CPS effectively and appropriately. Technology, especially computing technology, can play a significant in the field of agriculture by processing digitized data to solve the complex agronomic, agricultural demand and supply issues that impact the food supply chain, and ultimately food security. In Agri 4.0, the cyber physical system synchronously interacts with agricultural systems to control and execute the operation autonomously. Digitalization of agriculture integrates digital computers to assist the processes of agriculture with its digitized data and its allied technology including AI, Computer Vision, Big data, Block chain and IoT. Agri 4.0 digitalizes, estimate, plan, predict, and produce the optimum agricultural inputs and outputs for the required for commercial purposes. It can be used to get a fair, transparent and accountable process to serve the stakeholders. The convergence of IoT, ML, Big data and 5G networks have opened new possibilities to explore and exploit the cyber physical agricultural systems. The management and practices of smart multi-layer architecture and smart supply chain are one of the key application areas in Agri 4.0. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices and government policies in Agri 4.0. - Addresses one of the most complex applications of CPS - Describes various technologies, covering CPS in agriculture from precision agriculture to smart supply chain management - Focuses on the digital framework, tools, and systems capable of supporting Agri 4.0

Theory of Evolutionary Algorithms and Application to System Synthesis

Author : Tobias Blickle
Publisher : vdf Hochschulverlag AG
ISBN 13 : 9783728124333
Total Pages : 278 pages
Book Rating : 4.1/5 (243 download)

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Book Synopsis Theory of Evolutionary Algorithms and Application to System Synthesis by : Tobias Blickle

Download or read book Theory of Evolutionary Algorithms and Application to System Synthesis written by Tobias Blickle and published by vdf Hochschulverlag AG. This book was released on 1997 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Evolutionary Algorithms in Intelligent Systems

Author : Alfredo Milani
Publisher : MDPI
ISBN 13 : 3039436112
Total Pages : 144 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Evolutionary Algorithms in Intelligent Systems by : Alfredo Milani

Download or read book Evolutionary Algorithms in Intelligent Systems written by Alfredo Milani and published by MDPI. This book was released on 2020-12-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Science, Policy and Politics of Modern Agricultural System

Author : Mohamed Behnassi
Publisher : Springer Science & Business Media
ISBN 13 : 9400779577
Total Pages : 390 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Science, Policy and Politics of Modern Agricultural System by : Mohamed Behnassi

Download or read book Science, Policy and Politics of Modern Agricultural System written by Mohamed Behnassi and published by Springer Science & Business Media. This book was released on 2014-01-10 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book arises from a 2011 international conference entitled Climate Change, Agri-Food, Fisheries and Ecosystems: Reinventing Research, Innovation, and Policy Agendas for an Environmentally and Socially-Balanced Growth (ICCAFFE2011), organized by the North-South Center for Social Sciences (NRCS) in collaboration with the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, Germany and the Institute for Research and Development (IRD), France. Coverage focuses on the agricultural sector and helps improve understanding of the relationships between agriculture and the environment and between human communities and nature, so as to sustainably manage agricultural development. The contributors analyze the interdependence between sustainable agricultural development and environmental, economic and social dynamics; assess the impacts of soil degradation on agricultural productivity; present ways to enhance livestock production and recommend mechanisms for managing links between agro-biodiversity, climate change and livelihoods. Part I examines sustainable agriculture development and environmental, economic and social dynamics, addressing topics such as global climate change, agriculture and challenges including socio-economic factors, adaptation, poverty reduction and water management. Part II covers the impacts of soil degradation on agricultural productivity and discusses the use of expert systems to assess and manage degraded lands, agricultural productivity, land suitability and rehabilitation. Part III focuses on livestock production enhancements, such as feed resources and supplemental feeds for animals and capacity building for women in dairy management. Part IV shares the outcomes of research in agro-biodiversity, climate change and livelihoods, addressing topics such as co-management of forests, carbon consumption models, biodiversity conservation and carbon sequestration and scarce mangrove forests. Current environmental and agro-ecological research focuses on understanding the cause-consequence relationships between specific agricultural practices and land use and the responses at different levels of ecosystems. This book is intended to contribute to this discussion.

Handbook of Food and Bioprocess Modeling Techniques

Author : Shyam S. Sablani
Publisher : CRC Press
ISBN 13 : 1420015079
Total Pages : 624 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Food and Bioprocess Modeling Techniques by : Shyam S. Sablani

Download or read book Handbook of Food and Bioprocess Modeling Techniques written by Shyam S. Sablani and published by CRC Press. This book was released on 2006-12-19 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancement of computers, the use of modeling to reduce time and expense, and improve process optimization, predictive capability, process automation, and control possibilities, is now an integral part of food science and engineering. New technology and ease of use expands the range of techniques that scientists and researchers have at the

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

Author : Oliver Schütze
Publisher : Springer Science & Business Media
ISBN 13 : 3642315194
Total Pages : 504 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II by : Oliver Schütze

Download or read book EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II written by Oliver Schütze and published by Springer Science & Business Media. This book was released on 2012-08-14 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects. The conference is also intended to foster a growing interest for robust and efficient methods with a sound theoretical background. EVOLVE is intended to unify theory-inspired methods and cutting-edge techniques ensuring performance guarantee factors. By gathering researchers with different backgrounds, a unified view and vocabulary can emerge where the theoretical advancements may echo in different domains. Summarizing, the EVOLVE focuses on challenging aspects arising at the passage from theory to new paradigms and aims to provide a unified view while raising questions related to reliability, performance guarantees and modeling. The papers of the EVOLVE 2012 make a contribution to this goal.

Applied Genetic Algorithm and Its Variants

Author : Nilanjan Dey
Publisher : Springer Nature
ISBN 13 : 9819934281
Total Pages : 254 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Applied Genetic Algorithm and Its Variants by : Nilanjan Dey

Download or read book Applied Genetic Algorithm and Its Variants written by Nilanjan Dey and published by Springer Nature. This book was released on 2023-07-01 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides fundamental concepts related to various types of genetic algorithms and practical applications in various domains such as medical imaging, manufacturing, and engineering design. The book discusses genetic algorithms which are used to solve a variety of optimization problems. The genetic algorithms are demonstrated to offer reliable search in complex spaces. The book presents high-quality research work by academics and researchers which is useful for young researchers and students.

Evolutionary Algorithms for Solving Multi-Objective Problems

Author : Carlos Coello Coello
Publisher : Springer Science & Business Media
ISBN 13 : 1475751842
Total Pages : 600 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis Evolutionary Algorithms for Solving Multi-Objective Problems by : Carlos Coello Coello

Download or read book Evolutionary Algorithms for Solving Multi-Objective Problems written by Carlos Coello Coello and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.

Working with Dynamic Crop Models

Author : Daniel Wallach
Publisher : Elsevier
ISBN 13 : 008046193X
Total Pages : 465 pages
Book Rating : 4.0/5 (84 download)

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Book Synopsis Working with Dynamic Crop Models by : Daniel Wallach

Download or read book Working with Dynamic Crop Models written by Daniel Wallach and published by Elsevier. This book was released on 2006-05-10 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical models are being used more and more widely to study complex dynamic systems (global weather, ecological systems, hydrological systems, nuclear reactors etc. including the specific subject of this book, crop-soil systems). The models are important aids in understanding, predicting and managing these systems. Such models are complex and imperfect. One fundamental research direction is to seek a better understanding of how these systems function, and to propose mathematical expressions embodying that understanding. However, this is not sufficient. It is also essential to have tools (often mathematical and statistical methods) to aid in developing, improving and using the models built from those equations. The book is specifically concerned with the application of methods to crop models, but much of the material is also applicable to dynamic system models in other fields. The goal of this book is to fill that gap.* State-of-the-art methods explained simply and illustrated specifically for crop models* Parameter estimation – applying statistical methods to the complex case of crop models, including Bayesian methods * Includes model evaluation, understanding and estimating prediction error* Offers a unique data assimilation by using the Kalman filter and beyond

Incorporating Nature-Inspired Paradigms in Computational Applications

Author : Khosrow-Pour, Mehdi
Publisher : IGI Global
ISBN 13 : 1522550216
Total Pages : 398 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Incorporating Nature-Inspired Paradigms in Computational Applications by : Khosrow-Pour, Mehdi

Download or read book Incorporating Nature-Inspired Paradigms in Computational Applications written by Khosrow-Pour, Mehdi and published by IGI Global. This book was released on 2018-04-06 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many techniques have been developed to control the variety of dynamic systems. To develop those control techniques, it is fundamental to know the mathematical relations between the system inputs and outputs. Incorporating Nature-Inspired Paradigms in Computational Applications is a critical scholarly resource that examines the application of nature-inspired paradigms on system identification. Featuring coverage on a broad range of topics such as biogeographic computation, evolutionary control systems, and natural computing, this book is geared towards IT professionals, engineers, computer scientists, academicians, researchers, and graduate-level students seeking current research on the application of nature-inspired paradigms.

Optimization in Chemical Engineering

Author : Suman Dutta
Publisher : Cambridge University Press
ISBN 13 : 1107091233
Total Pages : 383 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Optimization in Chemical Engineering by : Suman Dutta

Download or read book Optimization in Chemical Engineering written by Suman Dutta and published by Cambridge University Press. This book was released on 2016-03-11 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, optimization of chemical processes is performed using both classical and advanced algorithms.

Applied Operational Research

Author : Kaveh Sheibani
Publisher : ORLAB Analytics
ISBN 13 :
Total Pages : 582 pages
Book Rating : 4./5 ( download)

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Book Synopsis Applied Operational Research by : Kaveh Sheibani

Download or read book Applied Operational Research written by Kaveh Sheibani and published by ORLAB Analytics. This book was released on 2011-08-24 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings gather contributions presented at the 3rd International Conference on Applied Operational Research (ICAOR 2011) in Istanbul, Turkey, August 24-26, 2011, published in the series Lecture Notes in Management Science (LNMS). The conference covers all aspects of Operational Research and Management Science (OR/MS) with a particular emphasis on applications.

Advances in Modeling Agricultural Systems

Author : Petraq Papajorgji
Publisher : Springer Science & Business Media
ISBN 13 : 0387751815
Total Pages : 522 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Advances in Modeling Agricultural Systems by : Petraq Papajorgji

Download or read book Advances in Modeling Agricultural Systems written by Petraq Papajorgji and published by Springer Science & Business Media. This book was released on 2009-02-28 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.