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Genetic Programming Theory and Practice XIX (Genetic and Evolutionary Computation)
by Leonardo Trujillo Wolfgang Banzhaf Sara Silva Stephan M. WinklerThis book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.
Genetic Programming Theory and Practice XVII (Genetic and Evolutionary Computation)
by Leonardo Trujillo Wolfgang Banzhaf Bill Worzel Leigh Sheneman Erik GoodmanThese contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice XVIII (Genetic and Evolutionary Computation)
by Leonardo Trujillo Wolfgang Banzhaf Bill Worzel Stephan WinklerThis book, written by the foremost international researchers and practitioners of genetic programming (GP), explores the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. In this year’s edition, the topics covered include many of the most important issues and research questions in the field, such as opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and efficient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms. The book includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming for Image Classification: An Automated Approach to Feature Learning (Adaptation, Learning, and Optimization #24)
by Mengjie Zhang Ying Bi Bing XueThis book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate and postgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.
Genetic Programming for Production Scheduling: An Evolutionary Learning Approach (Machine Learning: Foundations, Methodologies, and Applications)
by Mengjie Zhang Fangfang Zhang Su Nguyen Yi MeiThis book introduces readers to an evolutionary learning approach, specifically genetic programming (GP), for production scheduling. The book is divided into six parts. In Part I, it provides an introduction to production scheduling, existing solution methods, and the GP approach to production scheduling. Characteristics of production environments, problem formulations, an abstract GP framework for production scheduling, and evaluation criteria are also presented. Part II shows various ways that GP can be employed to solve static production scheduling problems and their connections with conventional operation research methods. In turn, Part III shows how to design GP algorithms for dynamic production scheduling problems and describes advanced techniques for enhancing GP’s performance, including feature selection, surrogate modeling, and specialized genetic operators. In Part IV, the book addresses how to use heuristics to deal with multiple, potentially conflicting objectives in production scheduling problems, and presents an advanced multi-objective approach with cooperative coevolution techniques or multi-tree representations. Part V demonstrates how to use multitask learning techniques in the hyper-heuristics space for production scheduling. It also shows how surrogate techniques and assisted task selection strategies can benefit multitask learning with GP for learning heuristics in the context of production scheduling. Part VI rounds out the text with an outlook on the future.Given its scope, the book benefits scientists, engineers, researchers, practitioners, postgraduates, and undergraduates in the areas of machine learning, artificial intelligence, evolutionary computation, operations research, and industrial engineering.
Genetic Resources, Chromosome Engineering, and Crop Improvement: Cereals, Volume 2
by Ram J. Singh Prem P. JauharSummarizing landmark research, Volume 2 of this essential series furnishes information on the availability of germplasm resources that breeders can exploit for producing high-yielding cereal crop varieties. Written by leading international experts, this volume offers the most comprehensive and up-to-date information on employing genetic resources t
Genetic Resources, Chromosome Engineering, and Crop Improvement: Forage Crops, Vol 5
by Ram J. SinghIn recent decades, livestock producers have moved away from open grazing for a number of reasons, none having to do with the health of consumers. Genetic Resources, Chromosome Engineering, and Crop Improvement: Forage Crops demonstrates how state-of-the-art technology can encourage the raising of livestock in open pastures where they can be fed gra
Genetic Resources, Chromosome Engineering, and Crop Improvement: Grain Legumes, Volume I
by Ram J. Singh Prem P. JauharThe first book in this new series discusses grain legumes, which rank only second to cereals in supplying calories and protein to the world's population. With each chapter written by an internationally renowned scientist, the book reviews the role of alien germplasm for the domestication of each major legume crop. Discussion for each crop covers or
Genetic Resources, Chromosome Engineering, and Crop Improvement: Medicinal Plants, Volume 6
by Ram J. SinghMedicinal Plants, Volume 6 of the Genetic Resources, Chromosome Engineering, and Crop Improvement series summarizes landmark research and describes medicinal plants as nature's pharmacy. HighlightsExamines the use of molecular technology for maintaining authenticity and quality of plant-based productsDetails reports on individual medicinal plants i
Genetic Resources, Chromosome Engineering, and Crop Improvement: Oilseed Crops, Volume 4 (Genetic Resources Chromosome Engineering & Crop Improvement)
by Paul C. H. LiSummarizing landmark research, Volume 4 of this essential seriesfurnishes information on the availability of germplasm resources that breeders can exploit for producing high-yielding oilseed crop varieties. Written by leading international experts, this volume presents the most up-to-date information on employing genetic resources to increas
Genetic Resources, Chromosome Engineering, and Crop Improvement: Vegetable Crops, Volume 3
by Ram J. SinghSummarizing landmark research, Volume 3 of this essential series furnishes information on the availability of germplasm resources that breeders can exploit for producing high-yielding vegetable crop varieties. Written by leading international experts, this volume offers the most comprehensive and up-to-date information on employing genetic resource
Genetic Status of Atlantic Salmon in Maine: Interim Report from the Committee on Atlantic Salmon in Maine
by Committee on Atlantic Salmon in MaineA report on the Genetic Status of Atlantic Salmon in Maine
Genetic Technology and Food Safety
by Roland NorerThe volume gives an overview on how legislators all over the world have come up with different legal solutions for governing genetically modified organisms (GMOs) and food security and provides a compact summary of the existing regulations in this field. In a comparative legal approach, a general report analyses and compares these various national and supranational legal systems. It closely follows the newest developments at the interface between genetic engineering law and food law. The emergence of a new technology usually leads to fundamental questions as to how the law should respond to it. The regulation of genetically modified organisms is a prime example, they have been discussed controversially ever since they were subject of legislation and regulation. In particular, this applies to the use of GMOs in food production. There is a variety of interesting legislations and a differentiated width of legal frameworks on international, supranational (EU) and national level to be found. The different regulations that thereby came to light are evidence of the various opinions and policies the societies and states have developed on this matter. It is this variety of regulations the volume examines, primarily on the basis of national reports that were handed in concerning the topic of genetic technology and food security at the occasion of the XIX International Congress of Comparative Law.
Genetic Testing and the Criminal Law
by Don ChalmersGenetic Testing and the Criminal Law is a unique international treatment of the dynamic and established criminal investigation technique of DNA testing. Gathering together expert practitioners, judges and researchers from twelve countries, each chapter deals with the specific criminal law of the jurisdiction in its interaction with the expanding use of DNA testing in criminal investigations and trials. The chapters cover the criminal law of the United Kingdom, Japan, Australia, Germany, New Zealand, Spain, South Africa, Canada, Italy, Finland, Argentina and Denmark, providing valuable accounts not only of the use of genetic testing in the criminal law, but also of the development of the law in these jurisdictions. No previous work has included such an extensive comparative study in this important area. Collectively, this book emphasizes the need for the law to respond to scientific developments thoughtfully and with a sensitive, well-reasoned approach to current concerns relating to the reliability of DNA evidence in criminal trials and the privacy and civil liberties issues surrounding the collection of DNA samples from individuals and their storage. This book is an invaluable reference for scholars, practitioners of criminal law and private international law, and students interested in this increasingly significant field of law.
Genetic Testing and the Governance of Risk in the Contemporary Economy: Comparative Reflections in the Insurance and Employment Law Contexts (Ius Comparatum - Global Studies in Comparative Law #34)
by Lara Khoury Adelle Blackett Lukas VanhonnaekerThis book addresses emerging questions concerning who should bear responsibility for shouldering risk, as well as the viability of existing and experimental governance mechanisms in connection with new technologies. Scholars from 14 jurisdictions unite their efforts in this edited collection to provide a comparative analysis of how various legal systems are tackling the challenges produced by the legal aspects of genetic testing in insurance and employment. They cover the diverse set of norms that surround this issue, and share insights into relevant international, regional and national incursions into the field. By doing so, the authors offer a basis for comparative reflection, including on whether transnational standard setting might be useful or necessary for the legal aspects of genetic testing as they relate to the insurance and employment contexts. The respective texts cover a broad range of topics, including the prevalence of genetic testing in the contexts of insurance and employment, and policy factors that might affect this prevalence, such as the design of national health or social insurance systems, of private insurance schemes or the availability of low-cost direct-to-consumer genetic testing. Further, the field of genetics is gaining in importance at the international and regional levels. Relevant concepts – mainly genetic tests and genetic data/information – have been internationally defined, and these definitions have influenced definitions adopted nationally. International law also recognizes a “special status” for human genetic data. The authors therefore also consider these definitions and the recognition of the special status of human genetic data within regional and national legal orders. They investigate the range of norms that specifically address the use of genetic testing in employment and insurance, encompassing international sources – including human rights norms – that may be binding or non-binding, as well national statutory, regulatory and soft-law mechanisms. Accordingly, some of the texts examine general frameworks relevant to genetic testing in each country, including those that stem from general anti-discrimination rules and norms protecting rights to autonomy, self-determination, confidentiality and privacy. In closing, the authors provide an overview of the efficiency of their respective legal regimes’ approaches – specific and generalist – to genetic testing or disclosure of genetic information in the employment or insurance contexts, including the effect of lack of legal guidance. In this regard, some of the authors highlight the need for transnational action in the field and make recommendation for future legal developments.
Genetic Testing: Accounts of Autonomy, Responsibility and Blame (Genetics and Society)
by Srikant Sarangi Michael Arribas-Ayllon Angus ClarkeAdvances in molecular genetics have led to the increasing availability of genetic testing for a variety of inherited disorders. While this new knowledge presents many obvious health benefits to prospective individuals and their families it also raises complex ethical and moral dilemmas for families as well as genetic professionals. This book explores the ways in which genetic testing generates not only probabilities of potential futures, but also enjoys new forms of social, individual and professional responsibility. Concerns about confidentiality and informed consent involving children, the assessment of competence and maturity, the ability to engage in shared decision-making through acts of disclosure and choice, are just some of the issues that are examined in detail.
Genetic Variation in Taste Sensitivity
by Beverly J. Tepper John PrescottFeaturing results presented at the Sensitivity to PROP (6-n-propylthiouracil) symposium held as a satellite to the European Chemosensory Research Organisation conference in Erlangen, Germany, this volume's field-shaping selections review all sides of PROP sensitivity measurement-from its descriptive worth with regard to sensory experiences, individual taste perceptions, and food choices to its predictive power in the nutrition and public health arenas. Written by recognized names from industry and academia, Genetic Variation in Taste Sensitivity is ideal for taste, olfaction, and flavor chemists and scientists; sensory evaluation chemists and scientists; and nutritionists.
Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume I), October 6–8, 2023, Kaohsiung, Taiwan (Lecture Notes in Electrical Engineering #1145)
by Shu-Chuan Chu Jerry Chun-Wei Lin Mong-Fong Horng Chin-Shiuh ShiehThis first book of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6–8, 2023, in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers know the up-to-date techniques of the mentioned topics, including swarm intelligence and its applications, operational technologies and networked multimedia applications, wearable computing and intelligent data hiding, image processing and intelligent applications, and intelligent multimedia tools and applications. It helps readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Genetic and Evolutionary Computing: Proceedings of the Fifteenth International Conference on Genetic and Evolutionary Computing (Volume II), October 6-8, 2023, Kaohsiung, Taiwan (Lecture Notes in Electrical Engineering #1114)
by Jeng-Shyang Pan Zhigeng Pan Jerry Chun-Wei Lin Pei HuThis second volume of conference proceedings contains selected papers presented at ICGEC 2023, the 15th International Conference on Genetic and Evolutionary Computing, held on October 6-8, 2023 in Kaohsiung, Taiwan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including technologies for next-generation network environments, recent progress in computational electromagnetic dynamics, future cyber security, privacy and forensics for advanced systems, data mining techniques and its applications, optimization models in deep learning and machine learning. It will help readers bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Genetic and Evolutionary Computing: Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computing, August 28-30, 2024, Miyazaki, Japan (Volume 1) (Lecture Notes in Electrical Engineering #1321)
by Jeng-Shyang Pan Jerry Chun-Wei Lin Tien-Wen Sung Thi Thi ZinThis book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including digital transformation, machine learning and data analysis, meta-heuristic optimization algorithms, computer vision, and artificial intelligence of things (AIoT), which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Genetic and Evolutionary Computing: Proceedings of the Sixteenth International Conference on Genetic and Evolutionary Computing, August 28-30, 2024, Miyazaki, Japan (Volume 2) (Lecture Notes in Electrical Engineering #1322)
by Jeng-Shyang Pan Jerry Chun-Wei Lin Tien-Wen Sung Thi Thi ZinThis book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may know the up-to-date techniques of the mentioned topics, including digital transformation, machine learning and data analysis, meta-heuristic optimization algorithms, computer vision, and artificial intelligence of things (AIoT), which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
Genetic and Evolutionary Computing: Proceedings of the Thirteenth International Conference on Genetic and Evolutionary Computing, November 1–3, 2019, Qingdao, China (Advances in Intelligent Systems and Computing #1107)
by Jeng-Shyang Pan Shu-Chuan Chu Jerry Chun-Wei Lin Yongquan LiangThis book gathers papers presented at the 13th International Conference on Genetic and Evolutionary Computing (ICGEC 2019), which was held in Qingdao, China, from 1st to 3rd, November 2019. Since it was established, in 2006, the ICGEC conference series has been devoted to new approaches with a focus on evolutionary computing. Today, it is a forum for the researchers and professionals in all areas of computational intelligence including evolutionary computing, machine learning, soft computing, data mining, multimedia and signal processing, swarm intelligence and security. The book appeals to policymakers, academics, educators, researchers in pedagogy and learning theory, school teachers, and other professionals in the learning industry, and further and continuing education.
Genetic and Evolutionary Computing: Proceedings of the Twelfth International Conference on Genetic and Evolutionary Computing, December 14-17, Changzhou, Jiangsu, China (Advances in Intelligent Systems and Computing #834)
by Jeng-Shyang Pan Jerry Chun-Wei Lin Bixia Sui Shih-Pang TsengThis volume of Advances in Intelligent Systems and Computing highlights papers presented at the 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018). Held from 14 to 17 December 2018 in Changzhou, Jiangsu, China, the conference was co-sponsored by Springer, Changzhou College of Information Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Tajen University, National University of Kaohsiung, and Shandong University of Science and Technology, China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.
Genetic and Production Innovations in Field Crop Technology: New Developments in Theory and Practice
by Manjit S. KangGet cutting-edge information to improve crop breeding and productivity!Crop improvement will become progressively important over the next few decades as the world’s population is expected to top 10 billion people, with more than eight billion in developing countries alone. Genetic and Production Innovations in Field Crop Technolog
Genetic improvement of Small Millets
by Sweta Mishra Shailesh Kumar R C SrivastavaThis book brings out a comprehensive collection of information on small millets. The main focus of this book is to introduce the various types of long forgotten small millets to the readers, their genetics, botany and diversity, cultivation, breeding strategies, genomic resources available, how they can be incorporated into the existing cropping systems, their processing strategies and value addition to incorporate into daily diet of humans. It covers finger millet, foxtail millet, proso millet, barnyard millet, little millet, kodo millet, and browntop millet. Millets originated before 10000 BC and were consumed by humans across civilizations until the green revolution took place in India and other developing countries. After green revolution, due to the advent of high-yielding varieties, as the area, production, and market of wheat and rice increased, the acreage of millets gradually decreased. However, with increasing lifestyle diseases, humans have recognized the potential of small millets crop. It is now being considered as super food and smart food as they are nutri-packed and rich in calcium, phosphorous, iron, zinc, and fiber, which is much higher than that available in wheat and rice. This book is of interest to the students, research scholars, national and international agricultural scientists, millet professionals, and food industry