Results 71 to 80 of about 273,786 (182)
A unifying theory of exactness of linear penalty functions [PDF]
Optimization, 2015 This is a slightly edited version of Accepted Manuscript of an article published by Taylor & Francis in Optimization on 22/12/2015, available online: http://www.tandfonline.com/10.1080/02331934.2015.1122005. In this version, a remark was added after Proposition 3.6 (the original numbering was preserved), and a mistake in the proof of Theorem 3.17 ...
openaire +2 more sources
Parallel Machine Scheduling of Deteriorating Jobs With Rejection and An Availability Constraint
Journal of MathematicsIn this paper, we explored the nonresumable deteriorating job scheduling with machine availability constraints and rejection. The research presented here has focused on two key issues. First, it is assumed that jobs have a different basic processing time
Guanghua Wu, Huan Liu, Yongping Liang
doaj +1 more source
Pairwise MRF Calibration by Perturbation of the Bethe Reference Point [PDF]
, 2012 We investigate different ways of generating approximate solutions to the pairwise Markov random field (MRF) selection problem. We focus mainly on the inverse Ising problem, but discuss also the somewhat related inverse Gaussian problem because both types
Furtlehner, Cyril +3 more
core +3 more sources
THE EFFICIENCY ANALYSIS OF MULTI-AGENT OPTIMIZATION METHODS OF AIRCRAFT DESIGNS ELEMENTS
Научный вестник МГТУ ГА, 2019 The article considers the use of three multi-agent methods for optimizing structural elements of aircraft. The research describes strategies for finding solutions to multi-agent metaheuristic algorithms, such as: fish school search, krill herd, and ...
A. V. Panteleev, M. S. Karane
doaj +1 more source
Soft Constraints and Exact Penalty Functions in Model Predictive Control
, 2000 One of the strengths of Model Predictive Control (MPC) is its ability to incorporate constraints in the control formulation. Often a disturbance drives the system into a region where the MPC problem is infeasible and hence no control action can be ...
Kerrigan, EC, Maciejowski, JM
core +1 more source
Computing Normalized Equilibria in Convex-Concave Games [PDF]
. This paper considers a fairly large class of noncooperative games in which strategies are jointly constrained. When what is called the Ky Fan or Nikaidô-Isoda function is convex-concave, selected Nash equilibria correspond to diagonal saddle points of ...
Flåm, Sjur Didrik, Ruszczynski, A.
core
ON DUAL DIFFERENTIABLE EXACT PENALTY FUNCTIONS FOR EQUALITY CONSTRAINED OPTIMIZATION
Journal of the Operations Research Society of Japan, 1985 This paper is concerned with a differentiable exact penalty function derived by modifying the Wolfe dual of an equality constrained problem. It may be considered that this penalty function belongs to a class of general augmented Lagrangians on which other differentiable exact penalty functions are based. It is shown that this penalty function possesses
Fukushima, Masao +2 more
openaire +2 more sources
Optimization with gradient-boosted trees and risk control
, 2018 Decision trees effectively represent the sparse, high dimensional and noisy nature of chemical data from experiments. Having learned a function from this data, we may want to thereafter optimize the function, e.g., picking the best chemical process ...
Krennrich, G +4 more
core
A Composite Likelihood-based Approach for Change-point Detection in Spatio-temporal Process
, 2019 This paper develops a unified, accurate and computationally efficient method for change-point inference in non-stationary spatio-temporal processes. By modeling a non-stationary spatio-temporal process as a piecewise stationary spatio-temporal process ...
Ma, Ting Fung +3 more
core
EntropyVariable selection methods have been extensively developed for and applied to cancer genomics data to identify important omics features associated with complex disease traits, including cancer outcomes. However, the reliability and reproducibility of the
Kun Fan +5 more
doaj +1 more source