A novel multi-objective evolutionary algorithm (MOEA) is developed based on Imperialist Competitive Algorithm (ICA), a newly introduced evolutionary algorithm (EA). Fast non-dominated sorting and the Sigma method are employed for ranking the solutions. The algorithm is tested on six well-known test functions each of them incorporate a particular feature that may cause difficulty to MOEAs. The n...

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...

Thermal buckling loads of laminated composite plates are maximized for a given total thickness. Fiber directions and relative thickness of layers are considered as design variables. Analysis of buckling temperature is carried out by using the finite element method, while the imperialist competitive algorithm (ICA) is employed to optimize as many as seven variables for the different layered plat...

In the recent years, the optimization techniques using evolutionary algorithms have been widely used to solve electromagnetic problems. These algorithms use thinning the antenna arrays with the aim of reducing the complexity and thus achieving the optimal solution and decreasing the side lobe level. To obtain the optimal solution, thinning is performed by removing some elements in an array thro...

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 paper presents a problem resolved from social Modeling associated with the adequate selection of clothes and their distribution in a Dresser using a range of 87 clothes with different features associated with a fashion collection to represent the symbolic capital of it. A case of study is presented regarding to the selection of 47 different possible combinations using data obtained from the...

Data clustering is one of the most important tasks of data mining. This paper aims to describe an integrated data clustering method based on Imperialist Competitive Algorithm (ICA) and K-Harmonic Means (KHM) algorithm. The proposed method is called ICA-KHM. KHM is a well-known clustering method and its main drawback is to converge to local optimums. Imperialist competitive algorithm is an evolu...

Credit Card Fraud is one of the biggest threats to business establishments today. This paper presents a cascade artificial neural network for the recognition of credit card fraud detection. This system aims at attaining a very high recognition rate and a very high reliability, In other words, excellent recognition performance of credit card fraud detection was obtained. Then, One solution was p...