Results 31 to 40 of about 13,577 (310)

Robust optimization in simulation: Taguchi and Krige combined [PDF]

, 2011
Optimization of simulated systems is the goal of many methods, but most methods assume known environments. We, however, develop a "robust" methodology that accounts for uncertain environments.
Jack P. C. Kleijnen, Carlo Meloni, Dellino, Gabriella, Gabriella Dellino, Meloni, Carlo, Kleijnen, J. P. C., Kleijnen, Jack P.C., Dellino, G., Kleijnen, Jack P.C.; id_orcid, Meloni, C.   +9 more
core   +1 more source

Target-Oriented Robust Optimization of Polygeneration Systems

Chemical Engineering Transactions, 2015
Polygeneration systems offer the possibility of efficient, low-carbon production of different product streams from a single facility. Such systems take advantage of opportunities for integrating processes to achieve effective recovery of waste energy and
K.B. Aviso, C.L. Sy, A.T. Ubando, R.R. Tan   +3 more
doaj   +1 more source

Robust mathematical programming for natural resource modeling under parametric uncertainty

Natural Resource Modeling, 2010
Summary: Inaccurate specification of model coefficients can lead to false or distorted findings in modeling investigations of natural resource management. Hence, this paper outlines a decision framework for optimization problems in which only the bounded set of outcomes for uncertain parameters is known.
Doole, Graeme J., Kingwell, Ross
openaire   +4 more sources

Stochastic Robust Mathematical Programming Model for Power System Optimization

IEEE Transactions on Power Systems, 2016
This letter presents a stochastic robust framework for two-stage power system optimization problems with uncertainty. The model optimizes the probabilistic expectation of different worst-case scenarios with different uncertainty sets. A case study of unit commitment shows the effectiveness of the proposed model and algorithms.
Cong Liu, Changhyeok Lee, Haoyong Chen, Sanjay Mehrotra   +3 more
openaire   +2 more sources

Optimum Scheduling the Electric Distribution Substations with a Case Study: An Integer Gaining-Sharing Knowledge-Based Metaheuristic Algorithm

Complexity, 2020
This work is dedicated to the economic scheduling of the required electric stations in the upcoming 10-year long-term plan. The calculation of the required electric stations is carried out by estimating the yearly consumption of electricity over a long ...
Said Ali Hassan, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed   +3 more
doaj   +1 more source

Robust Plane Clustering Based on L1-Norm Minimization

IEEE Access, 2020
Plane clustering methods, typically, k plane clustering (kPC), play conclusive roles in the family of data clustering. Instead of point-prototype, they aim to seek multiple plane-prototype fitting planes as centers to group the given data into their ...
Hongxin Yang, Xubing Yang, Fuquan Zhang, Qiaolin Ye   +3 more
doaj   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

FEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson, Tomáš Gedeon, Mauricio Garcia Benitez, Campbell Putnam, William R. Harcombe, Radhakrishnan Mahadevan, Ashley E. Beck   +6 more
wiley   +1 more source

On the Robustness of Global Optima and Stationary Solutions to Stochastic Mathematical Programs with Equilibrium Constraints, Part 2: Applications [PDF]

Journal of Optimization Theory and Applications, 2009
We consider a stochastic mathematical program with equilibrium constraints (SMPEC) and show that, under certain assumptions, global optima and stationary solutions are robust with respect to changes in the underlying probability distribution. In particular, the discretization scheme sample average approximation (SAA), which is convergent for both ...
C. Cromvik, M. Patriksson
openaire   +3 more sources

Convex Optimization of Markov Decision Processes Based on Z Transform: A Theoretical Framework for Two-Space Decomposition and Linear Programming Reconstruction

Mathematics
This study establishes a novel mathematical framework for stochastic maintenance optimization in production systems by integrating Markov decision processes (MDPs) with convex programming theory.
Shiqing Qiu, Haoyu Wang, Yuxin Zhang, Zong Ke, Zichao Li   +4 more
doaj   +1 more source