imperialist competitive algorithm (ica)

Nowadays, the speed at which municipalities provide urban services and collect urban waste play an important role in improving the efficiency of this organization, and therefore, the satisfaction of the citizens. In recent decades, due to the dominance of consumerism culture in Third World countries, especially Iran, we witness an increase in the urban waste each and every single day. In spite of the modernization of waste collection machines, the service delivery speed has been neglected although it has always had a significant impact on cost reduction and quality of service delivery. The city of Ardabil is no exception to this. It has four districts and 100 large and small neighborhoods in total that have always encountered the municipality with a major problem in terms of the rate at which urban wastes was collected and thus provided a beautiful outlook of the city. This article aims at adding the speed as a factor to the waste collection units by proposing the best route for the machines via Travelling Salesman Problem approach and Imperialist Competitive Algorithm in MATLAB environment. Using the appropriate programming and defining those 100 neighborhoods for the model, the most optimal routes for the municipality’s service units are introduced provided that the service units pass each neighborhood once and at the end return to the starting point again. The results of the study showed that the algorithm used in this research for 100 neighborhoods in those four districts can provide the optimal solution with the repetition of 200 and respectively with the values of 99, 91, 93, and 97 and within the intervals of 30, 22, 30, and 24 seconds.

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.