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Data-Driven Evolutionary Optimization

Data-Driven Evolutionary Optimization

Integrating Evolutionary Computation, Machine Learning and Data Science

by Yaochu JinHanding Wang and Chaoli Sun
Hardback
Publication Date: 29/06/2021

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Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available.



This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.
ISBN:
9783030746391
9783030746391
Category:
Databases
Format:
Hardback
Publication Date:
29-06-2021
Publisher:
Springer Nature Switzerland AG
Country of origin:
Switzerland
Pages:
393
Dimensions (mm):
235x155mm
Weight:
0.79kg

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