Evolutionary Algorithms And Agricultural Systems
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Evolutionary Algorithms And Agricultural Systems
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Author : David G. Mayer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
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 2012-12-06 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.
Evolutionary Algorithms And Agricultural Systems
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Author : David G. Mayer
language : en
Publisher: Springer
Release Date : 2001-11-30
Evolutionary Algorithms And Agricultural Systems written by David G. Mayer and has been published by Springer 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.
Success In Evolutionary Computation
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Author : Ang Yang
language : en
Publisher: Springer
Release Date : 2008-03-22
Success In Evolutionary Computation written by Ang Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-03-22 with Technology & Engineering categories.
Evolutionary Computation (EC) includes a number of techniques such as Genetic Algorithms 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 and rapidly-evolving field.
Agri 4 0 And The Future Of Cyber Physical Agricultural Systems
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Author : Seifedine Kadry
language : en
Publisher: Elsevier
Release Date : 2024-04-26
Agri 4 0 And The Future Of Cyber Physical Agricultural Systems written by Seifedine Kadry and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Technology & Engineering categories.
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
Handbook Of Food And Bioprocess Modeling Techniques
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Author : Shyam S. Sablani
language : en
Publisher: CRC Press
Release Date : 2006-12-19
Handbook Of Food And Bioprocess Modeling Techniques written by Shyam S. Sablani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-19 with Science categories.
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
Science Policy And Politics Of Modern Agricultural System
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Author : Mohamed Behnassi
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-01-10
Science Policy And Politics Of Modern Agricultural System written by Mohamed Behnassi 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 2014-01-10 with Nature categories.
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.
Evolutionary Algorithms In Intelligent Systems
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Author : Alfredo Milani
language : en
Publisher: MDPI
Release Date : 2020-12-07
Evolutionary Algorithms In Intelligent Systems written by Alfredo Milani and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Technology & Engineering categories.
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.
Evolutionary Algorithms For Solving Multi Objective Problems
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Author : Carlos Coello Coello
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Evolutionary Algorithms For Solving Multi Objective Problems written by Carlos Coello Coello 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 2013-03-09 with Computers categories.
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.
Theory Of Evolutionary Algorithms And Application To System Synthesis
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Author : Tobias Blickle
language : en
Publisher: vdf Hochschulverlag AG
Release Date : 1997
Theory Of Evolutionary Algorithms And Application To System Synthesis written by Tobias Blickle and has been published by vdf Hochschulverlag AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.
Applied Genetic Algorithm And Its Variants
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Author : Nilanjan Dey
language : en
Publisher: Springer Nature
Release Date : 2023-07-01
Applied Genetic Algorithm And Its Variants written by Nilanjan Dey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-01 with Technology & Engineering categories.
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.