in this research,qsar study has been carried out on quinolizidinyl derivatives as potent inhibitors of acetyl and butyrylcholin esterase in alzheimer’s disease. despite significant research efforts in both industry and academia, there are currently no diseases modifying therapies available to treat this illness. significant evidence suggests that the pathology of ad is linked to generation of β...

3D network analysis for indoor provides strong decision support for users in searching optimal routes on applications such as emergency services, transportation, security and visitor guiding. Genetic algorithm is used to solve non-linear problems with complicated constraints. Therefore, the implementation of genetic algorithm into route finding algorithms is needed. This paper explains the dema...

In this paper, we propose an algorithm for numerical solving an inverse non-linear diusion problem. In additional, the least-squares method is adopted tond the solution. To regularize the resultant ill-conditioned linear system ofequations, we apply the Tikhonov regularization method to obtain the stablenumerical approximation to the solution. Some numerical experiments con-rm the utility of th...

Nowadays, with extending applications of bi-layer metallic sheets in different industrial sectors, accurate specification of each layer is very prominent to achieve desired properties. In order to predict behavior of sheets under different forming modes and determining rupture limit and necking, the concept of Forming Limit Diagram (FLD) is used. Optimization problem with objective functions an...

This project focuses on applying neural networks to the classification of biological state based on gene expression data. In order to take advantage of the non-linear classification abilities of neural networks, a genetic algorithm is employed as a “wrapper” feature selector. Results indicate that the genetic algorithm effectively identifies features that allow successful neural network trainin...

the bankruptcy prediction models have long been proposedas a key subject in finance. the present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. thesa...

In this 4D-QSAR study, we obtained pharmacophore identification and biological activity prediction for 50 propoxy methylphenyl oxadiazole derivatives by the Electron Conformational Genetic Algorithm approach. In light of the results given in the data obtained from quantum chemical calculations at HF/3-21 G level, the electron conformational matrices of congruity (ECMC) were built by EMRE softwa...

In this paper, a mixed-integer linear programming model is proposed to integrate batch picking and distribution scheduling problems in order to optimize them simultaneously in an order picking warehouse. A tow-phase heuristic algorithm is presented to solve it in reasonable time. The first phase uses a genetic algorithm to evaluate and select permutations of the given set of customers. The seco...