Damping vibration-based IGMM optimization algorithm: fast and significant

2021

Expert Systems

Self Cite

Recently, the ideal gas molecular movement (IGMM) optimization algorithm was introduced by the authors. It is inspired by the movement and collision behaviour of the ideal gas molecules in an isolated medium. Although the IGMM could perform a high potential in determining the global optimum, improving its convergence behaviour came to the attention of the present investigation to deal with any type of especially highly nonlinear optimization problems. For that purpose, two actions took place hybridly. One was the simulation of the vibrational motion of gas molecules, especially at the early stages of the optimization process. The second simultaneous move concerned the non-repetitive nature of chaotic maps which could diversify the molecules, reduce the threat of premature convergence and improve the convergence speed of the IGMM algorithm. Therefore, this article investigates 10 different chaotic map functions and a random number generator along with four different Vibrational-based Chaotic IGMM (VCIGMM) strategies to still improve the speed of convergence. The results of applying the proposed algorithm to various numerical and engineering benchmark problems, intensely show that the chaotic maps, merged with vibrational motion of gas molecules, significantly improved the performance of the IGMM. It could considerably outperform some of the well-known meta-heuristic optimization algorithms in the literature.

Section: Vibration‐based Igmm Algorithmmentioning

confidence: 99%

“…

italicrand (() \cdot)

generates a random number between 0 and 1, and

E

is a convergence factor defined by Equation (). Figure 2 shows the flowchart of the VIGMM algorithm (Ghasemi & Varaee, 2019).…”

Section: Vibration‐based Igmm Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An improved chaotic ideal gas molecular movement algorithm for engineering optimization problems

Varaee

2021

Expert Systems

Self Cite

“…The design of controllers has a key role in the successful implementation of the smart structures to tune the control force of the actuator. Some optimization algorithms such as GA [7], IGMM [8], CSS [9], and gases Brownian motion optimization [10] have recently given attention to the optimal design of controllers in the seismic-excited structures.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Passive and Active Control Systems in Seismic-excited Structures Using a New Modified TLBO

Hosseinaei

Period. Polytech. Civil Eng.

Etedali

2020

Self Cite

Vibration control devices have recently been used in structures subjected to wind and earthquake excitations. The optimal design problems of the passive control device and the feedback gain matrix of the controller for the seismic-excited structures are some attractive problems for researches to develop optimization algorithms with the advancement in terms of simplicity, accuracy, speed, and efficacy. In this paper, a new modified teaching–learning-based optimization (TLBO) algorithm, known as MTLBO, is proposed for the problems. For some benchmark optimization functions and constrained engineering problems, the validity, efficacy, and reliability of the MTLBO are firstly assessed and compared to other optimization algorithms in the literature. The undertaken statistical indicate that the MTLBO performs better and reliable than some other algorithms studied here. The performance of the MTLBO will then be explored for two passive and active structural control problems. It is concluded that the MTLBO algorithm is capable of giving better results than conventional TLBO. Hence, its utilization as a simple, fast, and powerful optimization tool to solve particular engineering optimization problems is recommended.

“…In this section, dynamic properties of MDOF system of jacket platform, dynamic characteristics of wave/current loads and SMA mechanical properties are presented first. Then, an optimization algorithm 'ideal gas molecules movements' (IGMM) is used to find optimal characteristics of SMA elements geometry based on two different objective functions [12]. Finally, numerical results of installing optimized SMA dampers to jacket platform are presented and discussed.…”

Section: Introductionmentioning

confidence: 99%

Optimized SMA Dampers in Vibration Control of Jacket-type Offshore Structures (Regular Waves)

Shabakhty

Enferadi

2019

ijcoe

Self Cite

Undesired oscillations of jacket platform may influence the structural functionality and sometimes fatigue occurs. The main objective of this research is to control wave-induced vibrations of fixed jacket platforms with the use of optimized shape memory alloys dampers. To model the hysteretic behavior of SMA elements and performing dynamic analysis an efficient isothermal idealized constitutive model is developed in this research and direct integration time history analysis is carried out. Dynamic responses of multidegree of freedom system of jacket platform, with 90 m height and equipped with SMA dampers, is estimated and compared with the bare jacket. Furthermore, an optimization algorithm such as Ideal Gas Molecules Movements (IGMM) is implemented in this research to improve the efficiency of the dampers and minimize the deck displacements under the action of extreme wave. The results show that the optimized SMA dampers can improve the structural response by decreasing 47.5 percent of deck displacement, 56.5 percent of deck acceleration and finally 28 percent of base shear. In an SMA damper-equipped platform, reduced wave intensity will reduce the damper efficiency.