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Alba, Enrique. editor.
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other advanced techniques, such as Ant Colony Optimization, Co-evolutionary methods, GRASP, and Memetic
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Andreescu, Titu. author.
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undergraduate level, as well as in enrichment programs and Olympiad training for advanced high school students
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Kamalapurkar, Rushikesh. author.
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execution phase, and adaptive model-based and data-driven reinforcement learning, to assist readers in the
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Kunisch, Karl. editor.
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design, and much more. The book addresses advanced students and researchers in optimization and control
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Pochet, Yves. author.
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introduction to planning systems, mixed integer programming (MIP) models and algorithms through the advanced
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Roos, Cornelis. author.
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. Audience This book is intended for the optimization researcher community, advanced undergraduate and
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Tatjewski, Piotr. author.
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advanced feedback control and set-point optimisation. It is addressed to readers interested in the
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