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Hugh Garner’s Best Stories received the Governor General’s Literary Award for English-language fiction in 1963. The collection consists of twenty-four stories composed between the late 1930s and the early 1960s and reflects the immense flux of the mid-century, from the Great Depression to the Spanish Civil War, World War II, the Civil Rights movement, and second-wave feminism. Garner takes on issues ranging from anglophone–francophone conflict in Canada to racism in the American South, from the disenfranchisement of First Nations people to the mistreatment of the mentally disabled. Best Stories is not only notable for the devastating precision of its prose, but also for its contribution to the Spanish Civil War literary canon. This new edition brings short fiction by Garner into conversation with the wider canon of Canadian and transnational leftist and proletarian literature.
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Optimization techniques have developed into a significant area concerning industrial, economics, business, and financial systems. With the development of engineering and financial systems, modern optimization has played an important role in service-centered operations and as such has attracted more attention to this field. Meta-heuristic hybrid optimization is a newly development mathematical framework based optimization technique. Designed by logicians, engineers, analysts, and many more, this technique aims to study the complexity of algorithms and problems. Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance explores the emerging study of meta-heuristics optimization algorithms and methods and their role in innovated real world practical applications. This book is a collection of research on the areas of meta-heuristics optimization algorithms in engineering, business, economics, and finance and aims to be a comprehensive reference for decision makers, managers, engineers, researchers, scientists, financiers, and economists as well as industrialists.