all AI news
Adaptive Ranking Based Constraint Handling for Explicitly Constrained Black-Box Optimization. (arXiv:1811.00764v3 [cs.NE] UPDATED)
Web: http://arxiv.org/abs/1811.00764
May 11, 2022, 1:11 a.m. | Naoki Sakamoto, Youhei Akimoto
cs.LG updates on arXiv.org arxiv.org
We propose a novel constraint-handling technique for the covariance matrix
adaptation evolution strategy (CMA-ES). The proposed technique is aimed at
solving explicitly constrained black-box continuous optimization problems, in
which the explicit constraint is a constraint whereby the computational time
for the constraint violation and its (numerical) gradient are negligible
compared to that for the objective function. This method is designed to realize
two invariance properties: invariance to the affine transformation of the
search space, and invariance to the increasing transformation …
More from arxiv.org / cs.LG updates on arXiv.org
Latest AI/ML/Big Data Jobs
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote
Director of AI/ML Engineering
@ Armis Industries | Remote (US only), St. Louis, California
Digital Analytics Manager
@ Patagonia | Ventura, California