Evolutionary Algorithms and Agricultural Systems
Evolutionary Algorithms and Agricultural Systems

Author: David G. Mayer

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 110

ISBN-13: 1461517176

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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
Evolutionary Algorithms and Agricultural Systems

Author: David G. Mayer

Publisher: Springer

Published: 2001-11-30

Total Pages: 0

ISBN-13: 9780792375753

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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
Success in Evolutionary Computation

Author: Yin Shan

Publisher: Springer Science & Business Media

Published: 2008-02-29

Total Pages: 372

ISBN-13: 354076285X

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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
Agri 4.0 and the Future of Cyber-Physical Agricultural Systems

Author: Seifedine Kadry

Publisher: Elsevier

Published: 2024-04-26

Total Pages: 332

ISBN-13: 0443131864

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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

Evolutionary Algorithms in Intelligent Systems
Evolutionary Algorithms in Intelligent Systems

Author: Alfredo Milani

Publisher: MDPI

Published: 2020-12-07

Total Pages: 144

ISBN-13: 3039436112

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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
Science, Policy and Politics of Modern Agricultural System

Author: Mohamed Behnassi

Publisher: Springer Science & Business Media

Published: 2014-01-10

Total Pages: 390

ISBN-13: 9400779577

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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
Handbook of Food and Bioprocess Modeling Techniques

Author: Shyam S. Sablani

Publisher: CRC Press

Published: 2006-12-19

Total Pages: 624

ISBN-13: 1420015079

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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

Applied Genetic Algorithm and Its Variants
Applied Genetic Algorithm and Its Variants

Author: Nilanjan Dey

Publisher: Springer Nature

Published: 2023-07-01

Total Pages: 254

ISBN-13: 9819934281

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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.