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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems

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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems - Pardalos, Panos M. (Editor), and Rasskazova, Varvara (Editor), and Vrahatis, Michael N. (Editor)
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This edited volume illustrates the connections between machine learning techniques, black box optimization, and no-free lunch theorems. Each of the thirteen contributions focuses on the commonality and interdisciplinary concepts as well as the fundamentals needed to fully comprehend the impact of individual applications and problems. Current theoretical, algorithmic, and practical methods used are provided to stimulate a new effort towards innovative and efficient solutions. The book is intended for beginners who wish to ...

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Black Box Optimization, Machine Learning, and No-Free Lunch Theorems 2022, Springer Nature Switzerland AG, Cham

ISBN-13: 9783030665173

Paperback

Black Box Optimization, Machine Learning, and No-Free Lunch Theorems 2021, Springer, Cham

ISBN-13: 9783030665142

2021 edition

Hardcover