Paper Info
Title
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite.
Abstract
In this paper, we benchmark the Regularity Model-Based Multiobjective Estimation of Distribution Algorithm family RM-MEDA of Zhang et al. on the bi-objective family bbob-biobj test suite of the Comparing Continuous Optimizers (COCO) platform. It turns out that, starting from about 200 times dimension many function evaluations, family RM-MEDA shows a linear increase in the solved hypervolume-based target values with time until a stagnation of the performance occurs rather quickly on all problems. The final percentage of solved hypervolume targets seems to decrease with the problem dimension.
Year
DOI
Venue
2016
10.1145/2908961.2931707
GECCO (Companion)
Keywords
Field
DocType
Benchmarking, Black-box optimization, Bi-objective optimization
Test suite,Mathematical optimization,Estimation of distribution algorithm,Computer science,MEDA,Benchmarking
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
6
Name
Order
Citations
PageRank
Anne Auger1119877.81
Dimo Brockhoff294853.97
Nikolaus Hansen372351.44
Dejan Tusar4102.34
Tea Tusar518119.91
Tobias Wagner61379.96