Search results for "DSMGA"

Found 13 publication records. Showing 13 according to the selection in the facets

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
68	Ching-Chung Huang, Tian-Li Yu 0001	Trimming, ordering, and similarity check for DSMGA-II: DSMGA-II-TOS.	GECCO Companion	2022	DBLP DOI BibTeX RDF
66	Tian-Li Yu 0001, David E. Goldberg	Dependency Structure Matrix Analysis: Offline Utility of the Dependency Structure Matrix Genetic Algorithm.	GECCO (2)	2004	DBLP DOI BibTeX RDF
34	Chi-Meng Ngai, Tian-Li Yu 0001	Improving DSMGA-II performance on hierarchical problems by introducing preservative back mixing.	GECCO Companion	2022	DBLP DOI BibTeX RDF
34	Marcin M. Komarnicki, Michal Witold Przewozniczek, Tomasz M. Durda	Comparative mixing for DSMGA-II.	GECCO	2020	DBLP DOI BibTeX RDF
34	Marcin M. Komarnicki, Michal Witold Przewozniczek	Parameter-less, population-sizing DSMGA-II.	GECCO (Companion)	2019	DBLP DOI BibTeX RDF
34	Shih-Huan Hsu 0001, Tian-Li Yu 0001	Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II.	CoRR	2018	DBLP BibTeX RDF
34	Sung-Chi Li, Tian-Li Yu 0001	Speeding up DSMGA-II on CUDA platform.	GECCO	2017	DBLP DOI BibTeX RDF
34	Ping-Lin Chen, Chun-Jen Peng, Chang-Yi Lu, Tian-Li Yu 0001	Two-edge graphical linkage model for DSMGA-II.	GECCO	2017	DBLP DOI BibTeX RDF
34	Jheng-Ying Yu, I-Ting Chen, Tian-Li Yu 0001	A diversity preservation scheme for DSMGA-II to conquer the hierarchical difficulty.	GECCO	2017	DBLP DOI BibTeX RDF
34	Chia-hua Chang, Tian-Li Yu 0001	Investigation on Parameterless Schemes for DSMGA-II.	GECCO (Companion)	2016	DBLP DOI BibTeX RDF
34	Shih-Huan Hsu 0001, Tian-Li Yu 0001	Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing: DSMGA-II.	GECCO	2015	DBLP DOI BibTeX RDF
33	Thyago S. P. C. Duque, David E. Goldberg	A new method for linkage learning in the ECGA.	GECCO	2009	DBLP DOI BibTeX RDF	DSMGA, estimation of distribution algorithms, model building, efficiency enhancement, ECGA
33	Xavier Llorà, Kumara Sastry, Tian-Li Yu 0001, David E. Goldberg	Do not match, inherit: fitness surrogates for genetics-based machine learning techniques.	GECCO	2007	DBLP DOI BibTeX RDF	DSMGA, fitness estimation, surrogate fitness, xeCCS, learning classifier system, EDA, genetics-based machine learning

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