Results 71 to 80 of about 21,806 (260)
Multivariate Stochastic Optimization Approach Applied in a Flux-Cored Arc Welding Process
IEEE Access, 2020 One of the main goals in flux-cored arc welding processes is the optimization of bead geometry, in which multiple geometric characteristics of the welding bead are important; therefore, multiobjective optimization programming is often applied.
Alexandre F. Torres +5 more
doaj +1 more source
A Self‐Driving Lab for Solution‐Processed Electrochromic Thin Films
Advanced Intelligent Systems, EarlyView.A self‐driving laboratory accelerates the development of solution‐processed electrochromic thin films. By coupling machine learning with robotic fabrication and characterization, this closed‐loop platform systematically navigates complex processing parameters.
Selma Dahms +7 more
wiley +1 more source
Multiobjective optimization using surrogates
, 2006 Until recently, optimization was regarded as a discipline of rather theoretical interest, with limited real-life applicability due to the comutational or experimental expense involved.
Keane, A.J., Voutchkov, I.
core
Decision support for build-to-order supply chain management through multiobjective optimization [PDF]
, 2012 This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections,
Gallear, D +5 more
core +1 more source
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
Differential Evolution for Multiobjective Portfolio Optimization [PDF]
Financial portfolio optimization is a challenging problem. First, the problem is multiobjective (i.e.: minimize risk and maximize profit) and the objective functions are often multimodal and non smooth (e.g.: value at risk).
Thiemo Krink, Sandra Paterlini
core
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This work presents a simplified extended‐batch adsorber analogue model (e‐BAAM) to quantify key performance metrics such as purity, recovery, and energy trends for various pressure swing adsorption (PSA) process cycles for CO2$$ {\mathrm{CO}}_2 $$ capture.
Gwyneth Liske, Arvind Rajendran
wiley +1 more source
Sensitivity of Pareto Solutions in Multiobjective Optimization. [PDF]
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker (KKT) necessary conditions applied to nonlinear multiobjective programs (MOP) continuously depending on a parameter.
Balbás, Alejandro +2 more
core
A multiobjective optimization framework for multicontaminant industrial water network design. [PDF]
, 2011 The optimal design of multicontaminant industrial water networks according to several objectives is carried out in this paper. The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables ...
Montastruc, Ludovic +9 more
core +1 more source
Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang +10 more
wiley +1 more source