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O volume que ora se apresenta é produto do Seminário Internacional Gramsci, realizado entre os dias 28 e 30 de agosto de 2007, nas dependências da Faculdade de Filosofia e Ciências da UNESP (campus de Marília). a sua publicação neste formato se justifica pela qualidade dos trabalhos apresentados tanto como resultados de pesquisas concluídas ou quase, quanto pelos projetos ainda em desenvolvimento. a pretensão dessa brochura é bastante limitada, estando reduzida a tornar pública a riqueza (e talvez o calor) do debate travado nos dias do Seminário, mas a sua utilidade é evidente.
This book reviews the latest developments in nature-inspired computation, with a focus on the cross-disciplinary applications in data mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their importance in both theory and practical applications. Adopting an application-focused approach, each chapter introduces a specific topic, with detailed descriptions of relevant algorithms, extensive literature reviews and implementation details. Covering topics such as nature-inspired algorithms, swarm intelligence, classification, clustering, feature selection, cybersecurity, learning algorithms over cloud, extreme learning m...
This book delivers the state of the art in deep learning (DL) methods hybridized with evolutionary computation (EC). Over the last decade, DL has dramatically reformed many domains: computer vision, speech recognition, healthcare, and automatic game playing, to mention only a few. All DL models, using different architectures and algorithms, utilize multiple processing layers for extracting a hierarchy of abstractions of data. Their remarkable successes notwithstanding, these powerful models are facing many challenges, and this book presents the collaborative efforts by researchers in EC to solve some of the problems in DL. EC comprises optimization techniques that are useful when problems ar...
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A ground breaking study of primates that live in flooded habitats around the world.
This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
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