many shape and topology optimization methods have been inspired from the nature. in this paper, two different optimization algorithms based on the adaptive biological growth (abg) have been applied to some structural elements. the first algorithm is developed for the shape optimization and is applied to a plate with a central hole as well as a fillet plate. the second algorithm is the soft kill...

This paper describes an on-going work on the development and implementation of cellular automata based urban growth modeling using multitemporal satellite imagery. The algorithm is designed to simulate the historical growth as a function of local neighbourhood structure of the input data. Transition rules in the algorithm drive the urban growth over time. Calibration is introduced in the cellul...

ABSTRACT-Due to the important role productivity plays in future decision making and programming, the productivity indexes should have accurate quantities. In this study, Auto-Regressive Distributed Lag (ARDL) and Genetic Algorithm (GA) methods are applied to time series of 1978-2008 to accurately measure total factor productivity (TFP) in the agricultural sector of Iran. The comparison of these...

In agriculture, paddy crop monitoring placed a crucial role because it supports food security control. Water shortage, high cost of fertilizers, and soil deterioration were identified as some the difficulties encountered when rice crops through satellite images acquired by remote sensing. This study developed deep learning method-assisted clustering algorithm (DLCA) which helps to improve growt...