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Proceedings of the 5th Annual Advanced Technology, Applied Science, and Engineering Conference (ATASEC) 2023
This is an open access book.The Advanced Technology, Applied Science, and Engineering Conference (ATASEC) is an annual, reputable event organized with a motivation to provide an excellent international platform for the academicians, researchers, engineers, industrial participants and research students around the world to share their research findings. ATASEC aims to provide a platform for academicians, researchers, students, and practitioners to promote and share ideas and knowledge and to create international networks for sustaining the development of science and technology in the future. This year, the 5th ATASEC 2023 theme is “Emerging Technologies Collaboration Between Industry and Academic Institutions For The Sustainability of Small and Medium Businesses Development“. The main event will be performed online using Zoom on September 14th-15th 2023.
Proceedings of the 2022 Annual Technology, Applied Science and Engineering Conference (ATASEC 2022)
This is an open access book. The 4th Annual Technology, Applied Science and Engineering Conference (ATASEC 2022) is an annual, reputable event organized with a motivation to provide an excellent international platform for the academicians, researchers, engineers, industrial participants and research students around the world to share their research findings. ATASEC 2022 was performed online using Zoom platform on September 15th–16th, 2022. ATASEC 2022 theme is Science, Technology, Innovative Academic and Vocational Research Towards Product Development Through Industrial and Educational Cooperation. It addresses researchers and industries from all areas of advanced technology and science. It provides an international forum to present advances in the state of the art, identify emerging research topics, and together define the future of these exciting research domains. The conference will be enriched with renowned keynote speakers.
Nature-Inspired Algorithms and Applied Optimization
This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms. Topics include ant colony optimization, the bat algorithm, B-spline curve fitting, cuckoo search, feature selection, economic load dispatch, the firefly algorithm, the flower pollination algorithm, knapsack problem, octonian and quaternion representations, particle swarm optimization, scheduling, wireless networks, vehicle routing with time windows, and maximally different alternatives. This timely book serves as a practical guide and reference resource for students, researchers and professionals.
Genetic Algorithms + Data Structures = Evolution Programs
'What does your Master teach?' asked a visitor. 'Nothing,' said the disciple. 'Then why does he give discourses?' 'He only points the way - he teaches nothing.' Anthony de Mello, One Minute Wisdom During the last three decades there has been a growing interest in algorithms which rely on analogies to natural processes. The emergence of massively par allel computers made these algorithms of practical interest. The best known algorithms in this class include evolutionary programming, genetic algorithms, evolution strategies, simulated annealing, classifier systems, and neural net works. Recently (1-3 October 1990) the University of Dortmund, Germany, hosted the First Workshop on Parallel Probl...
Participatory Research for Health and Social Well-Being
This textbook is a comprehensive guide for students interested in using participatory research to improve people’s health and well-being. It is especially designed for those working in the fields of health and social welfare who are embarking on participatory research for the first time. It covers all phases in participatory research from “getting started,” to “acting for change,” “continuing the journey” and “articulating impact.” Its unique format helps readers understand the essence of participatory research as a comprehensive approach for doing research which is underpinned by a set of fundamental values.The many real life examples of participatory research projects from around the world inspire readers to find creative ways to manage their own research while opening up new horizons in their work.
Time Series Analysis
This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.
Genetic Algorithms and Engineering Optimization
Im Mittelpunkt dieses Buches steht eines der wichtigsten Optimierungsverfahren der industriellen Ingenieurtechnik: Mit Hilfe genetischer Algorithmen lassen sich Qualität, Design und Zuverlässigkeit von Produkten entscheidend verbessern. Das Verfahren beruht auf der Wahrscheinlichkeitstheorie und lehnt sich an die Prinzipien der biologischen Vererbung an: Die Eigenschaften des Produkts werden, unter Beachtung der äußeren Randbedingungen, schrittweise optimiert. Ein hochaktueller Band international anerkannter Autoren. (03/00)
Survey Sampling Theory and Applications
Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here ar...
Clever Algorithms
This book provides a handbook of algorithmic recipes from the fields of Metaheuristics, Biologically Inspired Computation and Computational Intelligence that have been described in a complete, consistent, and centralized manner. These standardized descriptions were carefully designed to be accessible, usable, and understandable. Most of the algorithms described in this book were originally inspired by biological and natural systems, such as the adaptive capabilities of genetic evolution and the acquired immune system, and the foraging behaviors of birds, bees, ants and bacteria. An encyclopedic algorithm reference, this book is intended for research scientists, engineers, students, and interested amateurs. Each algorithm description provides a working code example in the Ruby Programming Language.
