Papers by Keyword: Imperialist Competitive Algorithm

Abstract: This paper presents a new method to determine the best configuration for a distribution system for a day considering Photovoltaic (PV) generation and load profile. In the first part, the hourly optimal configuration for a day is obtained by using Imperialist Competitive Algorithm (ICA) and in second part; a selective approach based on minimum total daily power loss is used to select the optimal daily configuration. The proposed method is validated on IEEE 33 bus test system.

Abstract: A structural non-probabilistic reliability analysis model based on the imperialist competitive algorithm (ICA) is proposed. In practical engineering, the independent variables of the limit state function are usually the structural responses, which, together with the gradients, need to be resolved. The proposed model could find out the global optimum solution through the competition among the empires, without any additional gradient information, showing a good feasibility in many kinds of optimization problems. When utilizing the penalty function method, the constraint domain is enlarged to the failure domain, overcome the difficulties of searching the optimum due to the former narrower constraint domain. A numerical example verifies the high precision and good feasibility of the model.

Abstract: The most important concern in design of filament-wound composite pressure vessels reflects on the determination of the optimum shape and optimum laminate stacking sequence of composite vessels based on the matrix cracking pressure and burst pressure of composite laminates. In this study the Imperialist Competitive Algorithm (ICA) is used to find the optimum laminate stacking sequence of composite vessels that the design considerations are stability and strength constraints. the matrix cracking pressure of filament-wound composite pressure vessels made of different number of helical layers and different layers of Circumferential layers was calculated by using orthotropic material formulae and then, the burst pressure of composite vessels was calculated by using netting analysis. The optimum laminate stacking sequence of filament winding composite was found to maximize the matrix cracking pressure and the burst pressure by using Imperialist Competitive algorithm.

Abstract: The Imperialist Competitive Algorithm (ICA) is a novel computational method based on the concept of socio-political motivated strategy, which is usually used to solve different types of optimization problems. This paper presents the optimization of cold-formed channel section subjected to axial compression force utilizing the ICA method. The results are then compared to the Genetic Algorithm (GA) and Sequential Quadratic Programming (SQP) algorithm for validation purpose. The results obtained from the ICA method is in good agreement with the GA and SQP method in terms of weight but slightly different in the geometry shape.

Abstract: This paper deals with the Job Shop Scheduling Problem with the minimization of makespan as the objective. A novel meta-heuristic named imperialist competitive algorithm (ICA) is adopted to solve the problem. Since appropriate design of the parameters has a significant impact on the performance of the algorithm, the parameters were chosen based on orthogonal test. A local search strategy based on critical path and critical block was used to improve the performance of the algorithm. At last the algorithm was tested on a set of standard benchmark instances, and the computational results showed that the algorithm proposed performed well in both convergence rate and better global optima achievement.

Abstract: Network on Chip (NoC) has been proposed as a new paradigm for designing System on Chip which supports high degree of scalability and reusability. Mapping the IP cores onto a given platform is an important phase of NoC design which can greatly affect the performance and energy consumption of the chip. Mapping which is an instance of the constrained quadratic assignment problem (QAP) belongs to the class of NP-hard problems. Due to the complexity of many of these problems, particularly those of large sizes encountered in most practical settings, meta heuristic algorithms are conspicuously preferable. These algorithms help us achieve optimal or near optimal solutions in large size applications with reasonable time. In this paper eight types of Genetic Algorithms (GA), Particle Swarm Optimization(PSO), Simulated Annealing(SA), Differential Evolution(DE) and Imperialist Competitive Algorithm (ICA) are applied in their basic frameworks for solving the mapping problem on two real core graphs Video Objective Plan Decoder and MPEG-4. The experimental results show the comparisons of these different meta heuristic algorithms with each other.

Abstract: In this study, the buckling behavior of optimum laminated composite cylindrical shells subjected to axial compression and external pressure are studied. The cylindrical shells are composed of multi orthotropic layers that the principal axis gets along with the shell axis (x). The number of layers and the fiber orientation of layers are selected as optimization design variables with the aim to find the optimal laminated composite cylindrical shells. The optimization procedure was formulated with the objective of finding the highest buckling pressure. The Genetic Algorithm (GA) and Imperialist Competitive Algorithm (ICA) are two optimization algorithms that are used in this optimization procedure and the results were compared. Also, the effect of materials properties on buckling behavior was analyzed and studied.

Abstract: This work devoted to an ellipsoidal head of pressure vessel under internal pressure load. The analysis is aimed at finding an optimum weight of ellipsoidal head of pressure vessel due to maximum working pressure that ensures its full charge with stresses by using imperialist competitive algorithm and genetic algorithm. In head of pressure vessel the region of its joint with the cylindrical shell is loaded with shear force and bending moments. The load causes high bending stresses in the region of the joint. Therefore, imperialist competitive algorithm was used here to find the optimum shape of a head with minimum weight and maximum working pressure which the shear force and the bending moment moved toward zero. Two different size ellipsoidal head examples are selected and studied. The imperialist competitive algorithm results are compared with the genetic algorithm results.

Abstract: Steel cylindrical tank is one of the most common forms of liquid storage vessels. In this study the Imperialist Competitive Algorithm (ICA) is used to find the optimum size of a ground based cylindrical liquid storage tank that is supported at both ends and the design considerations are stability and strength constraints. In this study total internal pressure and total special pressure are assumed as two types of load. The optimization procedure is formulated with the objective to minimize the mass of the tank due to the allowable capacity of cylindrical tank.

Abstract: In this paper, we used the Imperialist Competitive Algorithm (ICA) and Genetic Algorithm (GA) to find the minimum weight design of torispherical dome ends under external pressure load. According to fabrication and strength of material requirements, a group of compromised counters are selected and studied. Based on ASME Section VIII and BS5500 pressure vessel codes, a reasonable buckling pressure limit is proposed. Four-centered ellipse method is quite effective in designing and constructing the dome structure and it is used here to construct the torispherical dome ends. Two different size torispherical dome end models are selected and studied. Imperialist competitive algorithm is found to be very efficient and easy to use for the applications.