Black-Box Optimization: Methods and Applications

Ishan Bajaj (), Akhil Arora () and M. M. Faruque Hasan ()
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Ishan Bajaj: University of Wisconsin-Madison
Akhil Arora: Texas A&M University
M. M. Faruque Hasan: Texas A&M University

A chapter in Black Box Optimization, Machine Learning, and No-Free Lunch Theorems, 2021, pp 35-65 from Springer

Abstract: Abstract Black-box optimization (BBO) is a rapidly growing field of optimization and a topic of critical importance in many areas including complex systems engineering, energy and the environment, materials design, drug discovery, chemical process synthesis, and computational biology. In this chapter, we present an overview of theoretical advancements, algorithmic developments, implementations, and several applications of BBO. Lastly, we point to open problems and provide future research directions.

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-66515-9_2

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DOI: 10.1007/978-3-030-66515-9_2

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