专著

Author: willbemaker

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+                <a href=" " >Multi objective Bayesian Optimization</a>
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+                  It is the first academic monograph in China to systematically elaborate the solutions of expensive multi-objective Bayesian optimization problems. The Gauss process proxy model and acquisition function strategy are used to solve the problems of low dimensional parallel evaluation and high dimensional disaster, and improve the optimization efficiency.
+                  Features of this book:
+                  In depth multi-level research: comprehensively explore the practical application of various representative multi-objective intelligent optimization methods in various fields, provide practical guidance and solutions for professionals, and help with problem solving and intelligent decision-making.
+                  Algorithms inspired by nature: learn from the wisdom of biological systems, adopt bionic intelligent optimization algorithms, break through traditional mathematical analysis methods, solve expensive multi-objective optimization problems, and provide unique optimization solutions.
+                  Focus on high-dimensional multi-objective Bayesian Optimization: focus on the challenges in high-dimensional target space, introduce advanced algorithms and technologies, including the auxiliary optimization of target dimensionality reduction agent model, and provide key methods and tools for dealing with complex intelligent decision-making problems in the real world.
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