On efficiency of a single variable bi-objective optimization algorithm
Document Type
Article
Publication Date
2-1-2020
Abstract
We consider the problem of approximating the Pareto front in the bi-objective optimization problem with twice continuously-differentiable functions. An algorithm is described that is efficient in the sense that the number of function evaluations that are not on the true Pareto front grows as the square of the logarithm of the number of function evaluations.
Identifier
85071665995 (Scopus)
Publication Title
Optimization Letters
External Full Text Location
https://doi.org/10.1007/s11590-019-01471-4
e-ISSN
18624480
ISSN
18624472
First Page
259
Last Page
267
Issue
1
Volume
14
Grant
CMMI-1562466
Fund Ref
National Science Foundation
Recommended Citation
    Calvin, James M. and Žilinskas, Antanas, "On efficiency of a single variable bi-objective optimization algorithm" (2020). Faculty Publications.  5492.
    
    
    
        https://digitalcommons.njit.edu/fac_pubs/5492
    
 
				 
					