In this paper, following a two-stage methodology, the differential quadrature element (DQE) model of a three-story frame structure is updated for the vibration analysis. In the first stage, the mass and stiffness matrices are updated using the experimental natural frequencies. Then, having the updated mass and stiffness matrices, the structural damping matrix is updated to minimize the error be...

In recent years, soft computing methods have generated a large research interest. The synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. A particular evolutionary algorithm (EA) is differential evolution (DE). As for any EA, DE algorithm also requires parameters tuning to achieve desirable performance. In this paper tuning the perturbation factor vector of DE ...

In order to deal with a large number of attributes, probabilistic feature selection algorithms have been proposed. Pure random walk entails mediocre performance in search time. Introducing adaptiveness into a probabilistic algorithm can lead to more focused search that means better search time. We compare two algorithms here in search of an efficient but not myopic algorithm for feature selecti...

Sustainability is a monumental issue that should be considered in designing a logistics system. In order to incorporate sustainability concepts in our study, a waste collection problem with economic, environmental, and social objective functions was addressed. The first objective function minimized overall costs of the system, including establishment of depots and treatment facilities. Addressi...

In this study, three criteria and 10 sub-criteria and 18 indicators based on the ecological, economic and social characteristics of the Alborz province, while reviewing the internal and external resources, and using 30 expert opinions were sought in order to reach a collective consensus. Also to measure their weight, the FAHP fuzzy hierarchy process was used. Then, using weighted linear combina...

This paper presents a comparative study for three evolutionary algorithms (EAs) to the Optimal Reactive Power Planning (ORPP) problem: evolutionary programming, evolutionary strategy, and genetic algorithm. The ORPP problem is decomposed into Pand Q-optimization modules, and each module is optimized by the EAs in an iterative manner to obtain the global solution. The EA methods for the ORPP pro...

In this paper we describe a method for generating high school timetables using an Evolutionary Algorithm (E.A.) with a new set of genetic operators inspired on the Infected Genes Evolutionary Algorithm [14]. We show that widening region of infection considered in [7] leads to a very significant increase in the performance of the E.A.. Comparative tests between the E.A. with and without the impr...