Tribe-charged system search for global optimization

Fuzzy Adaptive Charged System Search for global optimization

In recent decades, there has been a growing interest in utilizing different metaheuristic algorithms for optimization purposes. Charged system search algorithms are one of the recently proposed metaheuristic optimization algorithms that are formulated based on some principles of mechanics and physics that mimics the Newtonian and Coulomb laws of mechanics and electrostatics to formulate a search technique. In this book chapter, an extensive review based on the applications of this algorithm in different optimization fields is presented in order to represent the generality of this algorithm. A summary of the modified versions of this metaheuristic and their applications in different optimization areas are also presented alongside the hybrid and multi-objective approaches. For the first time in this book chapter, a comprehensive programming code of this algorithm is also provided. A complete discussion about the new challenges in improving this algorithm or implementing in different optimization problems is provided accordingly.

An Extensive Review of Charged System Search Algorithm for Engineering Optimization Applications

Optimum structural design of full-scale steel buildings using drift-tribe-charged system search

Two 10-storey benchmark buildings exposed to different earthquakes are considered in the study in order to analyse the performance and capability of the design of the Tuned Mass Damper (TMD) with the optimal properties. Two optimisation algorithms, i.e. the Modified Genetic Algorithm (MGA) and the Grey Wolves Optimization (GWO) method, are used in the investigation. Firstly, the effectiveness of MGA and GWO, under optimally designed TMD system is verified by comparing the results with the ones obtained by other methods. In a second part, the optimum design of TMD system is determined by including mass of TMD as a design variable so as to assess the feasibility of MGA and GWO. The MGA and GWO methods hold the better responses based on the reduction in the displacement, drift and acceleration of all stories subjected to different seismic excitations. The smaller properties of the TMD are attained using the methods of MGA and GWO as compared to the ones obtained by the Den Hartog and Warburton methods based on the objective function. Therefore, the MGA and GWO approaches lead to more practical and efficient solutions, which allows us to design economically the TMD systems rather than that of the other methods based on the reduction of structural responses. The results show that the efficiency of the parameters and modifications can be enhanced by selecting the proper access in the regulation output with requirements to be diminished.

Optimal design of multi-storey buildings with tuned mass dampers using genetic algorithms and grey wolf optimization

Purpose




The preliminary layout design of structures impacts upon the entire design process and, consequently, the total cost. The purpose of this paper is to select the most economical layouts that satisfy structural and architectural requirements, while considering the reciprocal effects of cost factors and layout variables at the preliminary stages of design.




Design/methodology/approach




This paper presents an automated method for cost optimization of geometric layout design of multi-span reinforced concrete (RC) beams subjected to dynamic loading by using the charged system search (CSS) algorithm. First, a novel cost optimization approach for geometric layout problems is introduced, in which both cost parameters and dynamic responses are considered in the preliminary layout design of beams. The proposed structural optimization problem with constraints on the static and dynamic equilibrium, architectural dimensions and structural action effects is solved using the CSS algorithm.




Findings




The proposed CSS algorithm for solving the cost optimization problem can be easily used for optimizing the span lengths and is also capable of working with various cost functions. The presented examples show that the proposed algorithm using the new cost optimization function provides satisfactory results and can result in over 7 per cent cost saving.




Originality/value




This is an original paper proposing a novel methodology for preliminary layout design of concrete beams.

Chunmei Zhang

Papers

Automated layout design of multi-span reinforced concrete beams using charged system search algorithm