Search results for "working principles of evolutionary computing"

Found 6 publication records. Showing 6 according to the selection in the facets

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	John M. Crofford	Is the triple parameter hypothesis generalizable.	GECCO (Companion)	2010	DBLP DOI BibTeX RDF	evolution dynamics, genetic algorithms, performance analysis, empirical study, theory, parameter tuning, working principles of evolutionary computing, schema theorem
1	John Crofford, Brent E. Eskridge, Dean F. Hougen	Applying the triple parameter hypothesis to maintenance scheduling.	GECCO	2010	DBLP DOI BibTeX RDF	evolution dynamics, genetic algorithms, performance analysis, empirical study, theory, parameter tuning, working principles of evolutionary computing, schema theorem
1	Pedro A. Diaz-Gomez, Dean F. Hougen	Three interconnected parameters for genetic algorithms.	GECCO	2009	DBLP DOI BibTeX RDF	evolution dynamics, genetic algorithms, performance analysis, empirical study, theory, parameter tuning, working principles of evolutionary computing, schema theorem
1	Nathaniel P. Troutman, Brent E. Eskridge, Dean F. Hougen	Is "best-so-far" a good algorithmic performance metric?	GECCO	2008	DBLP DOI BibTeX RDF	genetic algorithms, machine learning, performance analysis, empirical study, working principles of evolutionary computing
1	Frank Neumann, Ingo Wegener	Minimum spanning trees made easier via multi-objective optimization.	Natural Computing	2006	DBLP DOI BibTeX RDF	multi-objective optimization, running time analysis, working principles of evolutionary computing
1	Frank Neumann, Ingo Wegener	Minimum spanning trees made easier via multi-objective optimization.	GECCO	2005	DBLP DOI BibTeX RDF	multi-objective optimization, running time analysis, working principles of evolutionary computing

Displaying result #1 - #6 of 6 (100 per page; Change: )