scholarly journals Discrete Random Search Method ^|^ldquo;RasID-D^|^rdquo; for Optimization Problems

2004 ◽  
Vol 8 (4) ◽  
pp. 351-358 ◽  
Author(s):  
Kotaro HIRASAWA ◽  
Hiroyuki MIYAZAKI ◽  
Jinglu HU ◽  
Kenichi GOTO
Keyword(s):  
Optimization Problems ◽  
Random Search ◽  
Search Method ◽  
Random Search Method

scholarly journals APPLICATION OF HYBRID RANDOM SEARCH METHOD TO OPTIMISATION OF ENGINEERING SYSTEMS’ PARAMETERS

2018 ◽  
Vol 21 (3) ◽  
pp. 139-149
Author(s):  
A. V. Panteleev ◽  
D. A. Rodionova
Keyword(s):  
Global Optimization ◽  
Optimization Problems ◽  
Random Search ◽  
Operating Time ◽  
Optimization Methods ◽  
Search Method ◽  
Function Optimization ◽  
Constrained Global Optimization ◽  
Engineering Systems ◽  
Random Search Method

This paper presents a modification of the Luus-Jaakola global optimization method, which belongs to the class of metaheuristic algorithms. A hybrid method is suggested, using a combination of random search methods: Luus-Jaakola method, adaptive random search method and best trial method. The obtained method is applied to the optimization of parameters of different engineering systems. This class of problems appears during the design of aerospace and aeronautical structures; its goal is the cost or weight minimization of the construction. These problems belong to the class of constrained global optimization problems, where the level surface of the objective function has uneven relief and there is a large number of variables. This means that the classical optimization methods prove to be inefficient and these problems should be solved using metaheuristic optimization methods, which provide sufficient accuracy at reasonable operating time. In this paper, the constrained global optimization problem is solved using the penalty method. Thus, the problem of exterior penalty function optimization is considered, where the penalty coefficients are chosen in such a way as to avoid the violation of the constraints. Two applied problems are considered in the paper: the determination of the high-pressure vessel parameters and the anti rattle spring parameters determination. Using the suggested algorithm, a software complex was developed, which allows us to solve engineering optimization problems. The results obtained using the suggested methods were compared with the results obtained using the non-modified Luus-Jaakola method in order to demonstrate the efficiency of the suggested hybrid random search method.

scholarly journals 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method

2020 ◽  
Vol 25 ◽  
pp. 159-170
Author(s):  
Necati Ozbey ◽  
Celaleddin Yeroglu ◽  
Baris Baykant Alagoz ◽  
Norbert Herencsar ◽  
Aslihan Kartci ◽  
...  
Keyword(s):  
Fractional Order ◽  
Random Search ◽  
Search Method ◽  
Optimal Tuning ◽  
Multi Objective ◽  
Random Search Method
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