نتایج جستجو برای: multiple response optimization
تعداد نتایج: 1946531 فیلتر نتایج به سال:
The purpose of this paper is to examine the multidisciplinary design optimization (MDO) of a reentry vehicle. In this paper, optimization of a RV based on, minimization of heat flux integral and minimization of axial force coefficient integral and maximization of static margin integral along reentry trajectory is carried out. The classic optimization methods are not applicable here due to the c...
On a loom, the warp yarns experience exceptionally high mechanical stresses and strains, as well significant abrasion from friction. As result, yarn breakages cause loom stoppages and, hence, production quality interruptions. To mitigate this problem, should be treated with thin, strong film of an appropriate adhesive. The aim study is therefore, to investigate effect sizing machine parameters ...
Introduction: Fluoride counts an essential element for human health. Therefore, both low and excessive concentrations of that element in drinking water may cause health problems for the consumers. The present study aims to optimize fluoride base in drinking water using Alum response surface methodology. Methods: The present study is an analytical research which uses surface response method b...
Abstract In this paper, optimal coordination of the demand side under uncertainty energy price in market is studied. The consumers by response programs (DRPs) have role minimization generation costs multiple system. can participate via local strategy (LGS) and curtailment (DCS). considered as two stage optimization, which consumers’ bills done first stage. following, performed second optimizati...
In this paper, an algorithm is proposed to improve the design of constrained PID controller based on convex-concave optimization. This design method is based on the optimization of a performance cost function, taking into account the stability and efficiency constraints with frequency domain analysis in which the concepts of sensitivity and complementary sensitivity has been used. It is shown, ...
We introduce a new class of inverse optimization problems in which an input solution is given together with k linear weight functions, and the goal to modify weights by same deviation vector p so that becomes optimal respect each them, while minimizing ‖p‖1. In particular, we concentrate on three multiple functions: shortest s−t path, bipartite perfect matching, arborescence problems. Using LP ...
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