bat algorithm

The mean objective of performance based optimization of reinforced concrete frames (RC) is to reduce the cost of construction by requiring the satisfaction of the inter-story drifts and rotation of the plastic joints of the members. In this research, two 3 & 6 stories RC performance-based optimized by Particle Swarm (PSO), Enhanced Colliding Bodies (ECBO), firefly Algorithm (FA),Ants Colony (ACO) and Bat (BAT) meta-heuristic algorithms, then compare results with together. Optimization of RC is much complicated than Steel frames, because different dimensions of members & configuration of reinforcing. Due to the high cost of seismic performance evaluation of structures, in this research, neural networks used to increase the computational speed & reduce the operating time. Numerical results show the proper performance of the ECBO in comparison with other meta-heuristic algorithms.Also, the results of different algorithms do not show much difference.For further evaluation of the results, it is recommended to Calculate its Collapse Margin Ratios.

There have been many studies on how to model problem types, develop problem assumptions to adapt to real-world application conditions, and develop or develop problem-solving methods to obtain better results. In this paper, we aim to use single-target bat algorithm for drug distribution process in Tabriz metropolitan area in order to solve the problem of vehicle routing with time window. Due to the continuous nature of the metadata algorithm, how it is generated and decoded, a new routing solution is designed that gives the shortest transport path in the shortest possible time. In this regard, the distribution of the drug has been considered by Mohyadaru Distribution Company, a non-technical business-service company. In order to evaluate the performance of the proposed method, issues of different dimensions have been applied based on the actual issues related to drug delivery to existing pharmacies in the city of Tabriz by Mohyadaroo Company. The results show that the optimal routing is done due to the nature of the meta-algorithm optimization and the costs spent for this task are significantly reduced compared to the previous work.