Uses the stories of two inventors who took different paths to examine the early industrial revolution in New York and New England. Ingenious Machinists recounts the early development of industrialization in New England and New York through the lives of two prominent innovators whose work advanced the transformation to factory work and corporations, the rise of the middle class, and other momentous changes in nineteenth-century America. Paul Moody chose a secure path as a corporate engineer in the Waltham-Lowell system that both rewarded and constrained his career. David Wilkinson was a risk-taking entrepreneur from Rhode Island who went bankrupt and relocated to Cohoes, New York, where he was instrumental in that citys early industrial development. Anthony J. Connors writes not just a history of technological innovation and business development, but also two interwoven stories about these inventors. He shows the textile industry not in its decline, but in its days of great social and economic promise. It is a story of the social consequences of new technology and the risks and rewards of the exhilarating, but unsettling, early years of industrial capitalism. David Wilkinson and Paul Moody have long deserved full biographies. By comparing the careers of two notable figures and including a wealth of material about the people around them, Connors gives us a much more detailed, varied, and realistic image of life in industrial America than we have seen before. This is social, technological, business, and economic history at its best, all tied together in a compelling dual biography. The book will fascinate general readers with an interest in history or biography, but it will also appeal strongly to specialists in many fields. Patrick M. Malone, author of Waterpower in Lowell: Engineering and Industry in Nineteenth-Century America
This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains.
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