Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Multi-objective optimisation of retaining walls using hybrid adaptive gravitational search algorithm
This paper presents an effective hybrid evolutionary approach for multi-objective optimisation of reinforced concrete (RC) retaining walls. The proposed algorithm combines an adaptive gravitational search algorithm (AGSA) with pattern search (PS) called AGSA–PS. In the resulting hybrid approach, the PS algorithm is employed as a local search algorithm around the global solution found by AGSA. The proposed algorithm was tested on a set of five well-known benchmark functions and simulation results demonstrate the superiority of the new method compared with the standard algorithm. Thereafter, the proposed AGSA–PS is applied for multi-objective optimisation of RC retaining walls. Two objective functions include total cost and embedded CO2 emissions of retaining wall are considered. The reliability and efficiency of the AGSA–PS for multi-objective optimisation of retaining structures are investigated by considering two design examples of retaining walls. Experimental results demonstrate that the resulting algorithm has high viability, accuracy and significantly outperforms the original algorithm and some other methods in the literature.
Multi-objective optimisation of retaining walls using hybrid adaptive gravitational search algorithm
This paper presents an effective hybrid evolutionary approach for multi-objective optimisation of reinforced concrete (RC) retaining walls. The proposed algorithm combines an adaptive gravitational search algorithm (AGSA) with pattern search (PS) called AGSA–PS. In the resulting hybrid approach, the PS algorithm is employed as a local search algorithm around the global solution found by AGSA. The proposed algorithm was tested on a set of five well-known benchmark functions and simulation results demonstrate the superiority of the new method compared with the standard algorithm. Thereafter, the proposed AGSA–PS is applied for multi-objective optimisation of RC retaining walls. Two objective functions include total cost and embedded CO2 emissions of retaining wall are considered. The reliability and efficiency of the AGSA–PS for multi-objective optimisation of retaining structures are investigated by considering two design examples of retaining walls. Experimental results demonstrate that the resulting algorithm has high viability, accuracy and significantly outperforms the original algorithm and some other methods in the literature.
Multi-objective optimisation of retaining walls using hybrid adaptive gravitational search algorithm
Khajehzadeh, Mohammad (Autor:in) / Taha, Mohd Raihan (Autor:in) / Eslami, Mahdiyeh (Autor:in)
Civil Engineering and Environmental Systems ; 31 ; 229-242
03.07.2014
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Multi-objective optimisation of retaining walls using hybrid adaptive gravitational search algorithm
| British Library Online Contents | 2014
Multi-objective optimisation of retaining walls using hybrid adaptive gravitational search algorithm
| Online Contents | 2014
Efficient gravitational search algorithm for optimum design of retaining walls
| British Library Online Contents | 2013
| British Library Online Contents | 2013