This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

Artificial neural network was considered in previous studies for prediction of engine performance and emissions. ICA methodology was inspired in order to optimize the weights of multilayer perceptron (MLP) of artificial neural network so that closer estimation of output results can be achieved. Current paper aimed at prediction of engine power, soot, NOx, CO2, O2, and temperature with the ai...

In this study we determined neural network weights and biases by Imperialist Competitive Algorithm (ICA) in order to train network for predicting earthquake intensity in Richter. For this reason, we used dependent parameters like earthquake occurrence time, epicenter’s latitude and longitude in degree, focal depth in kilometer, and the seismological center distance from epicenter and earthquake...

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...

neural network is one of the most widely used algorithms in the field of machine learning, on the other hand, neural network training is a complicated and important process. supervised learning needs to be organized to reach the goal as soon as possible. a supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.  hen...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

This paper deal with the problem of no-wait hybrid flow shop which sequence dependent setup times, ready time and machine availability constraint. Minimizing the mean tardiness is considered as the objective to develop the optimal scheduling algorithm. To do so, an efficient hybrid imperialist competitive algorithm (HICA) is proposed to tackle this problem. Our proposed algorithm is compared to...

Distribution systems can be operated in multiple configurations since they are possible combinations of radial and loop feeders. Each configuration leads to its own power losses and reliability level of supplying electric energy to customers. In order to obtain the optimal configuration of power networks, their reconfiguration is formulated as a complex optimization problem with different objec...

In this paper, the optimal design of supplementary controller parameters of a unified power flow controller (UPFC) to damp low-frequency oscillations in a weakly connected system is investigated. The individual design of the UPFC controller, using the imperialist competitive algorithm (ICA) technique over a wide range of operating conditions, is discussed. The effectiveness and validity of the ...