Results 181 to 190 of about 12,208,333 (235)

Multiple-objective optimal designs

Journal of Biopharmaceutical Statistics, 1998
We present illustrative multiple-objective optimal designs for nonlinear models useful in biomedical studies. The aim is to demonstrate the added benefits of using a multiple-objective design over the traditional single-objective design.
Y C, Huang, W K, Wong
openaire   +2 more sources

On the Lexicographic Centre of Multiple Objective Optimization

Journal of Optimization Theory and Applications, 2015
The authors consider a general Multiple Objective Problem (MOP) and introduce the concept of the MOP's lexicographic centre. It is a refinement of the standard minimax approach to MOPs. This approach requires: (a) minimizing the largest objectives, (b) minimizing the second largest objectives over the set of all optimal solutions in (a), (c) minimizing
Jiangao Zhang, Shitao Yang
openaire   +2 more sources

Optimizing multiple objectives in collaborative filtering

Proceedings of the fourth ACM conference on Recommender systems, 2010
This paper is about the utility of making personalized recommendations. While it is important to accurately predict the target user's preference, in practice the accuracy should not be the only concern; a useful recommender system needs to consider the user's utility or satisfaction of fulfilling a certain information seeking task.
Tamas Jambor, Jun Wang 0012
openaire   +2 more sources

Multiple objective optimization of bluetooth scatternets

Journal of Combinatorial Optimization, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Leigh E. Hodge, Roger M. Whitaker, Steve Hurley   +2 more
openaire   +2 more sources

Multiple objective optimization in recommender systems

Proceedings of the sixth ACM conference on Recommender systems, 2012
We address the problem of optimizing recommender systems for multiple relevance objectives that are not necessarily aligned. Specifically, given a recommender system that optimizes for one aspect of relevance, semantic matching (as defined by any notion of similarity between source and target of recommendation; usually trained on CTR), we want to ...
Mario Rodríguez, Christian Posse, Ethan Zhang   +2 more
openaire   +1 more source

Optimal controller synthesis with multiple objectives

Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148), 2001
We present a methodology to address the general multiobjective control problem involving the /sub 1/ norm, /spl Hscr//sub 2/ norm, /spl Hscr//sub /spl infin// norm and time-domain constraint. We show that the problem resulting from imposing a regularizing condition always admits an optimal solution, and suboptimal solutions with performance arbitrarily
Xin Qi 0013, Mustafa Hani Khammash, Murti V. Salapaka   +2 more
openaire   +2 more sources

Efficiency in multiple objective optimization problems

Mathematical Programming, 1977
We generalize many of the results on efficient points for linear multiple objective optimization problems to the nonlinear case by focusing on an auxiliary problem. The approach, which relies on duality theory, is a straightforward development that even in the linear case yields simpler proofs.
Richard E. Wendell, D. N. Lee
openaire   +2 more sources

Multiple Objective Optimization Problems in Statistics

International Transactions in Operational Research, 2002
Many statistical problems can be viewed as optimization problems. A careful and detailed analysis of these procedures reveals that many of these problems are essentially multiple objective optimization problems. Furthermore, most of the standard statistical procedures aim at finding an efficient (non‐dominated) solution.
Narula, Subhash C., Wellington, John F.
openaire   +1 more source

Determining The Optimal Weights In Multiple Objective Function Optimization

[1988 Proceedings] Second International Conference on Computer Vision, 2005
An important problem in computer vision is the determination of weights for multiple objective function optimization. This problem arises naturally in many reconstruction problems, where one wishes to reconstruct a function belonging to a constrained class of signals based upon noisy observed data.
Michael A. Gennert, Alan L. Yuille
openaire   +1 more source

Sequential Construction of Multiple-Objective Optimal Designs

Biometrics, 1998
We propose a sequential approach for constructing multiple-objective locally optimal designs for nonlinear models. The technique used here is a general one and we demonstrate the added benefits of using a multiple-objective design over a single-objective design with examples from biomedical studies.
Huang, Yu-Chuang, Wong, Weng-Kee
openaire   +3 more sources