Arjmand, Mohammad, Sheikhi Azqandi, Mojtaba, Delavar, Mahdi. (1396). Hybrid Improved Dolphin Echolocation and Ant Colony Optimization for Optimal Discrete Sizing of Truss Structures. هنرهای کاربردی, 6(1), 70-87. doi: 10.22075/jrce.2017.11367.1186
Mohammad Arjmand; Mojtaba Sheikhi Azqandi; Mahdi Delavar. "Hybrid Improved Dolphin Echolocation and Ant Colony Optimization for Optimal Discrete Sizing of Truss Structures". هنرهای کاربردی, 6, 1, 1396, 70-87. doi: 10.22075/jrce.2017.11367.1186
Arjmand, Mohammad, Sheikhi Azqandi, Mojtaba, Delavar, Mahdi. (1396). 'Hybrid Improved Dolphin Echolocation and Ant Colony Optimization for Optimal Discrete Sizing of Truss Structures', هنرهای کاربردی, 6(1), pp. 70-87. doi: 10.22075/jrce.2017.11367.1186
Arjmand, Mohammad, Sheikhi Azqandi, Mojtaba, Delavar, Mahdi. Hybrid Improved Dolphin Echolocation and Ant Colony Optimization for Optimal Discrete Sizing of Truss Structures. هنرهای کاربردی, 1396; 6(1): 70-87. doi: 10.22075/jrce.2017.11367.1186

Hybrid Improved Dolphin Echolocation and Ant Colony Optimization for Optimal Discrete Sizing of Truss Structures

Journal of Rehabilitation in Civil Engineering
مقاله 7، دوره 6، شماره 1 - شماره پیاپی 11، اردیبهشت 2018، صفحه 70-87    اصل مقاله (1.67 M)
نوع مقاله: Regular Paper
شناسه دیجیتال (DOI): 10.22075/jrce.2017.11367.1186
نویسندگان
Mohammad Arjmand1؛ Mojtaba Sheikhi Azqandi* 2؛ Mahdi Delavar3
1Department of Civil Engineering, Bozorgmehr University of Qaenat, Qaen, Iran
2Department of Mechanical Engineering, Bozorgmehr University of Qaenat, Qaen, Iran
3Department of Civil Engineering, Birjand University, Birjand, Iran
چکیده
This paper presents a robust hybrid improved dolphin echolocation and ant colony optimization algorithm (IDEACO) for optimizing the truss structures with discrete sizing variables. The dolphin echolocation (DE) is inspired by the navigation and hunting behavior of dolphins. An improved version of dolphin echolocation (IDE), as the main engine, is proposed and uses the positive attributes of ant colony optimization (ACO) to increase the efficiency of the IDE. Here, ACO is employed to improve the precision of the global optimization solution. In the proposed hybrid optimization method, the balance between exploration and exploitation process was the main factor to control the performance of the algorithm. IDEACO algorithm performance is tested on several problems of benchmarks discrete truss structure optimization. The results indicate the excellent performance of the proposed algorithm in optimum design and rate of convergence in comparison with other metaheuristic optimization methods, so IDEACO offers a good degree of competitiveness against other existing metaheuristic methods.
کلیدواژه‌ها
Hybrid Optimization Algorithm؛ Metaheuristic؛ Discrete Variables؛ Dolphin Echolocation
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