The bottleneck in creating dynamic models of biological networks and processes often lies in estimating unknown kinetic model parameters from experimental data. In this regard, experimental conditions have a strong influence on parameter identifiability and should therefore be optimized to give the maximum information for parameter estimation. Existing model-based design of experiment (MBDOE) m...

the present paper aims to investigate the effects of modularity and the layout of subsystems and parts of a complex system on its maintainability. for this purpose, four objective functions have been considered simultaneously: i) maximizing the level of accordance between system design and optimum modularity design,ii) maximizing the level of accessibility and the maintenance space required,iii...

Although many methods for dealing with multi-objective optimisation (MOO) problems are available [Deb01] and successful applications have been reported [Coe01], the comparison between MOO methods applied to real-world problem was rarely carried out. This paper reports the comparison between MOO methods applied to a real-world problem, namely, the optimisation of a micro heat exchanger ( HEX). T...

Purpose This study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find optimum condition for hardened steel machining process in a computer numerical control (CNC) lathe machine. Design/methodology/approach In this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied multi-objective (MOO) hard-turning responses....

Multi-objective optimisation (MOO) has been used with an equation solver data reconciliation software to develop a tool for sensor system design based on modifying the sensitivity matrix of a simulated process. MOO enables searching for the best tradeoff between two conflicting objectives: the cost of the system and the precision of key performance indicators (KPI) (variables that have to be me...

HIV-1 protease cleavage site prediction of an amino acid sequence Human Immune Deficiency Virus (HIV-1) type 1 has been the subject intense research for decades to increase AUC value without placing much attention accuracy metric by many researchers. Knowledge substrate specificity significant application in inhibitors development and studying novel drug targets. Motivated this, a multi-objecti...

Abstract This paper explores the trade-off between redeveloping an urban site with higher density and maintaining solar access for surrounding context in hot dry climate of Tel Aviv. Such trade-offs are important future development Middle East, where densification is a demographic environmental need. We explore this multi-objective optimization (MOO). Specifically, we benchmark seven MOO algori...

Abstract The Chaos Game Optimization (CGO) has only recently gained popularity, but its effective searching capabilities have a lot of potential for addressing single-objective optimization issues. Despite advantages, this method can tackle problems formulated with one objective. multi-objective CGO proposed in study is utilized to handle the several objectives (MOCGO). In MOCGO, Pareto-optimal...