Several methods for optimization of multiple response problems using planned experimental data have been proposed in the literature. Among them, an integrated approach of multiple regression-based optimization using an overall performance criteria has become quite popular. In this article, we examine the effectiveness of five performance metrics that are used for optimization of multiple respon...

the development of optimization and mathematical models for closed loop supply chain (clsc) design has attracted considerable interest over the past decades. however, the uncertainties that are inherent in the network design and the complex interactions among various uncertain parameters are challenging the capabilities of the developed tools. the aim of this paper, therefore, is to propose a n...

nonlinear knapsack problems (nkp) are the alternative formulation for the multiple-choice knapsack problems. a powerful approach for solving nkp is dynamic programming which may obtain the global op-timal solution even in the case of discrete solution space for these problems. despite the power of this solu-tion approach, it computationally performs very slowly when the solution space of the pr...

The main purpose of the present work is to investigate the impact of soil-structure interaction on performance-based design optimization of steel moment resisting frame (MRF) structures. To this end, the seismic performance of optimally designed MRFs with rigid supports is compared with that of the optimal designs with a flexible base in the context of performance-based design. Two efficient me...

background and objective: lactobacillus plantarum is one of the probiotics species used in functional food products. these bacteria or their purified bacteriocins are used as biological preservatives in the food industry. the first step in production of an array of probiotic products is optimizing production in fermentors. this study aimed to examine factors affecting the in vitro growth optimi...

the optimization of process conditions for the degradation of acid blue 193 by uv/peroxydisulfate was investigated using response surface methodology (rsm). the effects of four parameters namely initial k2s2o8 concentration, uv irradiation, temperature, and initial dye concentration on two process responses, color removal and the rate constants of the first-order kinetic equations, were investi...

in this study, we investigated the effects of osmotic process with or without ultrasound on solid gain (sg) and water loss (wl) of cranberries. response surface methodology was used to model and determine the optimum processing conditions for wl and sg during osmotic dehydration of samples. sucrose (40-60%) and salt (0-8%) concentrations, temperature (30-50°c) and frequency of ultrasound (0-130...

‎a common approach to determine efficient solutions of a multiple objective optimization problem‎ ‎is reformulating it to a parameter dependent scalar optimization problem‎. ‎this reformulation is called scalarization approach‎. here, a well-known scalarization approach named pascoletti-serafini scalarization is considered‎. first, some difficulties of this scalarization are discussed and then ...

the impact resistance of new lightweight panel is studied. this panel consists of two thin metal layers bonded together by intermediate fiber/epoxy layers (mcm-sheets). to simulate a behavior of this kind of impact problem, explicit and implicit finite element software abaqus is used. in order to validate the finite element modeling, these results have been compared with experimental test resul...