An improved heat transfer search algorithm for unconstrained optimization problems

چکیده مقاله :
In this work, an improved heat transfer search (IHTS) algorithm is proposed by incorporating the effect of
the simultaneous heat transfer modes and population regeneration in the basic HTS algorithm. The basic
HTS algorithm considers only one of the modes of heat transfer (conduction, convection, and radiation)
for each generation. In the proposed algorithms, however, the system molecules are considered as the
search agents that interact with each other as well as with the surrounding to a state of the thermal equilibrium.
Another improvement is the integration of a population regenerator to reduce the probability of
local optima stagnation. The population regenerator is applied to the solutions without improvements
for a pre-defined number of iterations. The feasibility and effectiveness of the proposed algorithms are
investigated by 23 classical benchmark functions and 30 functions extracted from the CEC2014 test suite.
Also, two truss design problems are solved to demonstrate the applicability of the proposed algorithms. The
results show that the IHTS algorithm is more effective as compared to the HTS algorithm. Moreover, the
IHTS algorithm provides verycompetitive results compared to the existing meta-heuristics in the literature

توضیحات تکمیلی :

مقاله ISI انگلیسی اصلی
سال انتشار:2018
این مقاله OPEN ACCESS می باشد و به طور رایگان از سایت ساینس دایرکت قابل دانلود است
فایل ISI انگلیسی اصلی ، با فرمت Pdf
تعداد صفحات فایل ISI انگلیسی اصلی: 20 صفحه


نویسندگان/توضیحات : Ghanshyam G. Tejani a,⇑, Vimal J. Savsani b, Vivek K. Patel b, Seyedali Mirjalili / مقاله ISI سال انتشار2018
تاریخ ارسال : 1397/10/12
تعداد بازدید : 334
کلمات کلیدی : Meta-heuristic Unconstrained benchmark function Global optimization Truss design Size, shape, topology optimization
تعداد صفحات : 20
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