In textile industry, marker planning is one of the main operations in the cutting fabric stage. Marker packing is usually used to maximize cloth exploitation and minimize its waste. In this research, a method is used based on new found meta-heuristic imperialist competitive algorithm (ICA) and Bottom-Left-Fill Algorithm (BLF) to achieve optimal marker packing. Function of the proposed method wa...

contamination of water by heavy metals is a global problem. nowadays everybody knows that heavy metal ions consist of iron, lead, manganese, zinc, copper, cadmium, and nickel and so on they are common contaminants in wastewater and known to be toxic and carcinogenic that lead to many problems for human and water environment. in this research, experiments have been performed in the batch system ...

an integrated model considers all parameters and elements of different deficiencies in one problem. this paper presents a new integrated model of a supply chain that simultaneously considers facility location, vehicle routing and inventory control problems as well as their interactions in one problem, called location-routing-inventory (lri) problem. this model also considers stochastic demands ...

Predicting stock prices on the Tehran Stock Exchange by a new hybridization of Fuzzy Inference System and Imperialist Competitive Algorithm

In this paper, a method for extracting edges from Imperialistic competition evolutionary algorithm is used. The edges of this method are obtained in two distinct ways: The first method of imperialistic competitive algorithm for optimizing the parameters of a decision threshold. The method is useful to derive the standard Sobel edge operator and improved Sobel operator productivity. The second m...

The multiple traveling salesman problem (MTSP) is a generalization of the famous traveling salesman problem (TSP), where more than one salesman is used in the solution. Although the MTSP is a typical kind of computationally complex combinatorial optimization problem, it can be extended to a wide variety of routing problems. This paper presents an efficient and evolutionary optimization algorith...

This paper presents a computational intelligence approach for coping with bullwhip effect in supply chains (SCs). An imperialist competitive algorithm (ICA) is employed to decrease the bullwhip effect and cost (inventory, ordering and production) in the MIT beer distribution game. The ICA is used to determine the optimal ordering policy for members of the SC. The results shows the ability of th...