Instance-Specific Algorithm Configuration

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Focusing on automatic configuration and algorithm selection, this book introduces a modular approach known as ISAC. It explores the foundational model and offers various modifications and practical applications. Key topics include automated feature generation, offline algorithm configuration for portfolio creation, algorithm selection, adaptive solvers, online tuning, and parallelization, making it a comprehensive resource for researchers and practitioners in algorithm optimization.