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This book takes a balanced approach between theoretical understanding and real-time applications. All the topics include
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Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both s
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From the start of life, people used their brains to make something better in design in ordinary works. Due to that, meta
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Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and
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This book presents the state-of-the-art applications of machine learning in the finance domain with a focus on financial
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Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throu
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This book aims at updating the relevant computer science-related research communities, including professors, researchers
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