Application of Clustering Algorithm and Imperialist Competitive Algorithm (ICA) in Zoning of Rural Areas: (Case study: Central District of Boyer-Ahmad County)

Journal of Research and Rural Planning

مقاله 8، دوره 2، شماره 2 - شماره پیاپی 4، اسفند 2013، صفحه 311-334   

نوع مقاله: علمی

شناسه دیجیتال (DOI): 10.22067/jrrp.v2i4.23765

نویسندگان

Farzad Karimi^* ؛ Mostafa Ahmadvand؛ Zahra Tavakolitabar؛ Shahab Mirzaei

چکیده

The quality of development and its infrastructures have brought about major problems to the development process of the country’s villages due to unfavorable and concentrated planning. Its various dimensions and structural complexity forms a basic limitation to the presentation of an appropriate model for the distribution of budgets. Therefore, awareness of distribution of development in rural regions is essential for planning and presenting rural development programs. This research aims at determine levels of development in the Central district of Boyer-Ahmad county.The recent study is a functional one due to the aim, and it is a quantity study, due to data analysis. Statistical population of the study was the villages in the county with 20 or more households (89 villages). The sample size of the rural people was determined using the sampling size table given by Lin. The final sample included 566 rural households were randomly selected as a sample of the study from the population. To collect the data, a questionnaire was used. The Cronbach's alpha coefficient (0.561-0.955) indicated the optimality of the questionnaire. In order to zoning development of rural areas, organism approach (structured) to select criteria was used. In order to determine the zoning rural development, descriptive analysis and K-means algorithm in combination with imperialist competitive algorithm (ICA) were used. Data processing was performed using MATLAB 7.10 software. Findings of study indicate the answer of optimum of K-MICA algorithm is better than k-means algorithm. Also the worst answer of K-MICA algorithm is better than the best answer of k-means algorithm. The findings also indicated the undesirable rural development in the region. Also, approximately half of villages with 49.43 percent of the rural region were undeveloped villages. In developed level, 28.08 percent of villages and in developing level, 22.47 percent of villages.

کلیدواژه‌ها

zoning؛ Rural Development؛ Clustering Algorithm؛ Imperialist Competitive Algorithm (ICA)