Journal ArticleDOI
Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures
Reads0
Chats0
TLDR
Numerical simulations have confirmed that the proposed controller is enabling to significantly reduce the structural responses using less control energy compared to LQR, besides the superiority of ICA in finding the optimal responses for active control problem.Abstract:
A developed comparative analysis of metaheuristic optimization algorithms has been used for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the external excitation in solving the Riccati equation with no sufficient optimal results. To enhance the efficiency of LQR and overcome the non-optimality problem, six intelligent optimization methods including BAT, BEE, differential evolution, firefly, harmony search and imperialist competitive algorithm have been discretely added to wavelet-based LQR to seek the attained optimum feedback gains. The proposed approach has not required the solution of Riccati equation enabling the excitation effect in controlling process. Employing this advantage by each of six mentioned algorithms to three-story and eight-story structures under different earthquakes led to define (1) the best solution, (2) convergence rate and (3) computational effort of all methods. The purpose of this research is to study the aforementioned methods besides the superiority of ICA in finding the optimal responses for active control problem. Numerical simulations have confirmed that the proposed controller is enabling to significantly reduce the structural responses using less control energy compared to LQR.read more
Citations
More filters
Journal ArticleDOI
A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
Mahdi Shariati,Mohammad Saeed Mafipour,Behzad Ghahremani,Fazel Azarhomayun,Masoud Ahmadi,Nguyen Thoi Trung,Ali Shariati +6 more
TL;DR: The results of the paper show that combining the ELM model with GWO can efficiently improve the performance of this model, and it is deducted that the ELm-GWO model is capable of reaching superior performance indices in comparison with those of the other models.
Journal ArticleDOI
Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia
Maziar Yazdani,Kamyar Kabirifar,Boadu Elijah Frimpong,Mahdi Shariati,Mirpouya Mirmozaffari,Azam Boskabadi +5 more
TL;DR: This research proposes a novel simheuristic based on an integrated simulation-optimization approach, in which an efficient hybrid Genetic Algorithm is applied in order to optimize vehicle route planning for C&D waste collection from construction projects to recycling facilities.
Journal ArticleDOI
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Mahdi Shariati,Mohammad Saeed Mafipour,Peyman Mehrabi,Ali Shariati,Ali Toghroli,Nguyen Thoi Trung,Musab N.A. Salih +6 more
TL;DR: It is deducted that considering only four parameters in the predictive models is enough to have a very accurate prediction and it is demonstrated that ELM needs less time and it can reach slightly better performance indices than those of ANN and ANFIS.
Journal ArticleDOI
Chaotic simulation of the multi-phase reinforced thermo-elastic disk using GDQM
M. S. H. Al-Furjan,M. S. H. Al-Furjan,Mostafa Habibi,Alireza Rahimi,Guojin Chen,Hamed Safarpour,Mehran Safarpour,Abdelouahed Tounsi +7 more
TL;DR: In this article, a nonlinear dynamic model for the nonlinear frequency and chaotic responses of the multi-scale hybrid nano-composite reinforced disk in the thermal environment and subject to a harmonic external load is derived.
Journal ArticleDOI
Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes
Maryam Safa,Puteri Azura Sari,Mahdi Shariati,Meldi Suhatril,Nguyen Thoi Trung,Karzan Wakil,Majid Khorami +6 more
TL;DR: The neuro-fuzzy can provide a new applicable model to effectively predict the FOS of the slopes due to the fact that it is able to combine the advantages of the ANN and fuzzy inference system to indicate a high prediction capacity in solving problem of slope stability.
References
More filters
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
A New Heuristic Optimization Algorithm: Harmony Search
TL;DR: A new heuristic algorithm, mimicking the improvisation of music players, has been developed and named Harmony Search (HS), which is illustrated with a traveling salesman problem (TSP), a specific academic optimization problem, and a least-cost pipe network design problem.
Posted Content
A New Metaheuristic Bat-Inspired Algorithm
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.
Proceedings ArticleDOI
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
TL;DR: Applying the proposed algorithm for optimization inspired by the imperialistic competition to some of benchmark cost functions shows its ability in dealing with different types of optimization problems.
Book
Handbook Of Metaheuristics
Fred Glover,Gary A. Kochenberger +1 more
TL;DR: This book discusses Metaheuristic Class Libraries, Hyper-Heuristics, and Artificial Neural Networks for Combinatorial Optimization, which are concerned withMetaheuristic Algorithms and their applications in Search Technology.