ICONS 2019 Paper Abstract


Paper ThPSTPos.3

Hraiba, Aziz (Laboratory of Engineering, of Industrial Management and Innovati), TOUIL, ACHRAF (Labotatory of Engineering, of Industrial Management and Innovati), Mousrij, Ahmed (FST-Settat)

Hybrid Two-Stage Eagle Startegy for Reliability Analysis

Scheduled for presentation during the Regular Session "Poster session" (ThPSTPos), Thursday, August 22, 2019, 14:30−15:30,

5th IFAC International Conference on Intelligent Control and Automation Sciences, August 21-23, 2019, Queen’s University Belfast, Northern Ireland

This information is tentative and subject to change. Compiled on November 29, 2021

Keywords Swarm Intelligence (ant colony, particle swarm, differential evolution, cultural algorithms), Manufacturing, Mechatronics


In this paper, we devoted the reliability analysis by combining a two-stage eagle strategy (ES) with the first-order reliability method (FORM). In the first stage of ES, we use the so-called levy flights to improve the global search ability. In the second stage, we use a hybrid method based on the grey wolf optimizer (GWO) and accelerated particle swarm optimization (APSO) to intensify the local search. In the proposed method named ES-GWPSO, FORM is used to evaluate the fitness of each agent. In order to investigate the efficiencies of ES-GWPSO in reliability analysis, four classic examples, as well as a roof truss model are employed. The results are compared to four well-known heuristic algorithms. The results show that reliability analysis by using ES-GWPSO is significantly better than the current heuristic algorithms.


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