Optimization of subsurface models with multiple criteria using Lexicase Selection

Optimization of subsurface models with multiple criteria using Lexicase Selection

Seismic History Matching (SHM) is a key problem in the geosciences community, requiring optimal parameters of a subsurface model that match the observed data from multiple in-situ measurements. Therefore, the SHM problems are usually solved with Multi-Objective Evolutionary Algorithms (MOEAs). This...

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Bibliographic Details
Main Authors: Yifan He, Claus Aranha, Antony Hallam, Romain Chassagne
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Operations Research Perspectives
Subjects:
Seismic History Matching
Lexicase Selection
Multi-objective optimization
Multi-Objective Evolutionary Algorithm
Online Access:http://www.sciencedirect.com/science/article/pii/S2214716022000124

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http://www.sciencedirect.com/science/article/pii/S2214716022000124

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