Modified Sub-Population Based Heat Transfer Search Algorithm for Structural Optimization

Ghanshyam Tejani, Vimal Savsani and Vivek Patel
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Ghanshyam Tejani: RK University, Rajkot, India
Vimal Savsani: Pandit Deendayal Petroleum University, Gandhinagar, India
Vivek Patel: Pandit Deendayal Petroleum University, Gandhinagar, India

International Journal of Applied Metaheuristic Computing (IJAMC), 2017, vol. 8, issue 3, 1-23

Abstract: In this study, a modified heat transfer search (MHTS) algorithm is proposed by incorporating sub-population based simultaneous heat transfer modes viz. conduction, convection, and radiation in the basic HTS algorithm. However, the basic HTS algorithm considers only one of the modes of heat transfer for each generation. The multiple natural frequency constraints in truss optimization problems can improve the dynamic behavior of the structure and prevent undesirable vibrations. However, shape and size variables subjected to frequency constraints are difficult to handle due to the complexity of its feasible region, which is non-linear, non-convex, implicit, and often converging to the local optimal solution. The viability and effectiveness of the HTS and MHTS algorithms are investigated by six standard trusses problems. The solutions illustrate that the MHTS algorithm performs better than the HTS algorithm.

Date: 2017
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