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A Clustering-Based Hybrid Particle Swarm Optimization Algorithm for Solving a Multisectoral Agent-Based Model

Abstract

This paper presents the new Clustering-Based Hybrid Particle Swarm Optimization (CBHPSO) algorithm. This algorithm was designed to solve biobjective optimization problems and it was used for finding trade-offs in a multisectoral agent-based model of trade interactions. This model includes multiple interacting agent enterprises belonging to different economic sectors. At the same time, the values of the control parameters of this stochastic multiagent system (MAS) need to be optimized. Therefore, CBHPSO has been developed and aggregated with this MAS by means of the objective functions. The main feature of the CBHPSO algorithm consists in the use of clustering techniques, such as the k-means algorithm, to form subsets of non-dominated solutions shared among the swarm particles in each cluster. The values of the performance metrics employed for CBHPSO and other well-known multi-objective evolutionary algorithms (SPEA2, NSGA-II, FCGA and BORCGA-BOPSO and MOPSO) were compared. As a conclusion, it was found that the velocities of decision variables in the particle swarm depend on specific non-dominant solutions of the clusters involved. It can be said that the main advantage of CBHPSO lies in the quality of the Pareto front approximation. Thus, it was demonstrated that the CBHPSO algorithm can be applied to search for improved characteristics of the employed MAS.

article Article

date_range 2024

language English

link Link of the paper

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Akopov Andranik

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Featured Keywords

Particle swarm optimization

Agent-based modeling

Genetic algorithms

Clustering

Simulation of trade interactions

Multiagent systems

Multiobjective optimization

Multisectoral models

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Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

Abstract

Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of thousands of buildings. Two consecutive devastating earthquakes have severely damaged the reinforced concrete building stock located in Malatya. There are many reasons reinforced concrete structures suffer damage under the influence of seismic loads. These reasons can be listed as material and section properties that do not comply with earthquake codes, workmanship defects, ground parameters that are not considered and design errors, as seen in field investigations after earthquakes in Turkey in the past. In this research, a field study was conducted on reinforced concrete buildings damaged after the earthquakes in Malatya province. The causes of structural damages in reinforced concrete buildings between 6–26 years of age were assessed in terms of design and material defects. The structural damages were mainly caused due to insufficient stirrups in structural members, short column, strong beam–weak column, failures of infill walls, soft story type collapse, poor concrete quality, and reinforcement corrosion. In addition to the field investigation, the spectrum relationships created using raw acceleration data obtained from DEMP (Disaster and Emergency Management Presidency) stations in Malatya province were compared with the design response spectra.

article Article

date_range 2024

language English

link Link of the paper

Collapsed buildings

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