In the process of designing an economical structure, safety along with total cost must be balanced. This can attained by design optimization, however complex nature algorithms involved hinders its application. Further, there is a severe lack research on optimization reinforced concrete (RC) isolated footings. Therefore, main objective this to develop user-friendly tool for RC footings using adv...

In this paper, following our previous work on civil service examinations in imperial China, we investigate women's role in a Chinese historical family line using an agent-based simulation (ABS) model with a grid oriented genetic algorithm (GOGA) framework. We utilize a GOGA framework, because our ABS had such large parameter spaces with real values that it required much greater computational re...

Electricity demand forecasting model based on single algorithm at least have two problems related to local optima and computational cost. We consider to utilised the hybrid real value genetic algorithm and extended Nelder-Mead to solved local optima and reduced the number of iteration. The model is known as the hybrid Real-Value GA and Extended Nelder-Mead (RVGA-ENM). The GA has been enhanced t...

In this paper we consider the identification of the geometric structure of the boundary of the solution domain for the three-dimensional Laplace equation. Cauchy data consisting of boundary measurements of currents and voltages on the remainder of the boundary are used to determine the material loss caused by corrosion. This problem arrise in the early detection of corrosion in aging aircraft c...

The paper presents a decision support system for heart diseases classification based on support vector machines (SVM) and integer-coded genetic algorithm (GA). Simple Support Vector Machine (SSVM) algorithm has been used to determine the support vectors in a fast, iterative manner. For selecting the important and relevant features and discarding those irrelevant and redundant ones, integer-code...