Naturally Inspired

Its undeniable that society's reliance on the quick-and-easy fix is causing mayhem for human health, our planet, and future generations. Naturally Inspired is the perfect resource for those on a mission to live a natural life free from avoidable toxins. By replacing a few store-bought products with DIY alternatives, not only will you improve your overall health and wellbeing, youll also save money and reduce waste. With her gentle and realistic approach, Krissy Ballinger will help you reduce your bodys toxic burden with recipes for common day-to-day essentials like deodorant, sunscreen, magnesium oil, dishwasher tablets, cleaning sprays and much more. Its easy to be inspired by the simplicity of the recipes and the stunning photography, along with the inclusion of thermal appliance methods and seemingly endless ideas on how to use essential oils. Natural DIY has never been so easy and rewarding.

The book presents recent advances in nature-inspired computing, giving a special emphasis to control systems applications. It reviews different techniques used for simulating physical, chemical, biological or social phenomena at the purpose of designing robust, predictive and adaptive control strategies. The book is a collection of several contributions, covering either more general approaches in control systems, or methodologies for control tuning and adaptive controllers, as well as exciting applications of nature-inspired techniques in robotics. On one side, the book is expected to motivate readers with a background in conventional control systems to try out these powerful techniques inspired by nature. On the other side, the book provides advanced readers with a deeper understanding of the field and a broad spectrum of different methods and techniques. All in all, the book is an outstanding, practice-oriented reference guide to nature-inspired computing addressing graduate students, researchers and practitioners in the field of control engineering.

Guide your students through the fascinating world of engineering, and how to draw inspiration from Nature’s genius to create, make, and innovate a better human-built world. Studded with more than 150 illustrations of natural phenomena and engineering concepts, this fascinating and practical book clearly demonstrates how engineering design is broadly relevant for all students, not just those who may become scientists or engineers. Mr. Stier describes clever, engaging activities for students at every grade level to grasp engineering concepts by exploring the everyday design genius of the natural world around us. Students will love learning about structural engineering while standing on eggs; investigating concepts in sustainable design by manufacturing cement out of car exhaust; and coming to understand how ant behavior has revolutionized the way computer programs, robots, movies, and video games are designed today. You will come away with an understanding of engineering and Nature unlike any you’ve had before, while taking your ability to engage students to a whole new level. Engineering Education for the Next Generation is a wonderful introduction to the topic for any teacher who wants to understand more about engineering design in particular, its relation to the larger subjects of STEM/STEAM, and how to engage students from all backgrounds in a way that meaningfully transforms their outlook on the world and their own creativity in a lifelong way. · Fun to read, comprehensive exploration of cutting-edge approaches to K-12 engineering education · Detailed descriptions and explanations to help teachers create activities and lessons · An emphasis on engaging students with broad and diverse interests and backgrounds · Insights from a leading, award-winning K-12 engineering curriculum that has reached thousands of teachers and students in the U.S. and beyond · Additional support website (www.LearningWithNature.org) providing more background, videos, curricula, slide decks, and other supplemental materials

Biological and natural processes have been a continuous source of inspiration for the sciences and engineering. For instance, the work of Wiener in cybernetics was influenced by feedback control processes observable in biological systems; McCulloch and Pitts description of the artificial neuron was instigated by biological observations of neural mechanisms; the idea of survival of the fittest inspired the field of evolutionary algorithms and similarly, artificial immune systems, ant colony optimisation, automated self-assembling programming, membrane computing, etc. also have their roots in natural phenomena. The second International Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO), was held in Acireale, Italy, during November 8-10, 2007. The aim for NICSO 2007 was to provide a forum were the latest ideas and state of the art research related to cooperative strategies for problem solving arising from Nature could be discussed. The contributions collected in this book were strictly peer reviewed by at least three members of the international programme committee, to whom we are indebted for their support and assistance. The topics covered by the contributions include several well established nature inspired techniques like Genetic Algorithms, Ant Colonies, Artificial Immune Systems, Evolutionary Robotics, Evolvable Systems, Membrane Computing, Quantum Computing, Software Self Assembly, Swarm Intelligence, etc.

Gives a comprehensive description on the biological model, basic physical models, fabrication/characterization of bioinspired materials and their functions.

This timely review book summarizes the state-of-the-art developments in nature-inspired optimization algorithms and their applications in engineering. Algorithms and topics include the overview and history of nature-inspired algorithms, discrete firefly algorithm, discrete cuckoo search, plant propagation algorithm, parameter-free bat algorithm, gravitational search, biogeography-based algorithm, differential evolution, particle swarm optimization and others. Applications include vehicle routing, swarming robots, discrete and combinatorial optimization, clustering of wireless sensor networks, cell formation, economic load dispatch, metamodeling, surrogated-assisted cooperative co-evolution, data fitting and reverse engineering as well as other case studies in engineering. This book will be an ideal reference for researchers, lecturers, graduates and engineers who are interested in nature-inspired computation, artificial intelligence and computational intelligence. It can also serve as a reference for relevant courses in computer science, artificial intelligence and machine learning, natural computation, engineering optimization and data mining.

Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

This volume constitutes selected papers presented during the 8th International Conference on Metaheuristics and Nature Inspired Computing, META 2021, held in Marrakech, Morocco, in October 201. Due to the COVID-19 pandemic the conference was partiqally held online. The 16 papers were thoroughly reviewed and selected from the 53 submissions. They are organized in the topical sections on ​combinatorial optimization; continuous optimization; optimization and machine learning; applications.