Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis-Reference-Cited by-同舟云学术

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Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis

Published:2020-05 Issue: Volume:90 Page:106138
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Škvorc Urban^ORCID,Eftimov Tome^ORCID,Korošec Peter

Funder

Slovenian Research Agency, Slovenia

Publisher

Elsevier BV

Subject

Software

Reference37 articles.

1. Exploratory landscape analysis;Mersmann,2011

2. Benchmarking evolutionary algorithms: towards exploratory landscape analysis;Mersmann,2010

3. Comprehensive feature-based landscape analysis of continuous and constrained optimization problems using the R-package flaccos;Kerschke,2019

4. Cell mapping techniques for exploratory landscape analysis;Kerschke,2014

5. Detecting funnel structures by means of exploratory landscape analysis;Kerschke,2015

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