This paper presents a Hybrid Spiral and Sine-Cosine algorithm (SSCA). Sine-Cosine algorithm (SCA) is a random-based optimization that utilizes an elitism approach and adaptive step size in its strategy. The step size ...
详细信息
ISBN:
(纸本)9781538685464
This paper presents a Hybrid Spiral and Sine-Cosine algorithm (SSCA). Sine-Cosine algorithm (SCA) is a random-based optimization that utilizes an elitism approach and adaptive step size in its strategy. The step size is linearly varied and thus has caused the algorithm to produce steady convergence trend towards an optimal solution. It also has resulted the algorithm unable to achieve the true optimal solution. On the other hand, Spiral Dynamic algorithm (SDA) is a deterministic-based algorithm that offers a nonlinear trend of agents step size in its operation. Therefore, an adoption of spiral equation from SDA into SCA is proposed as a solution to increase SCA convergence speed and its corresponding accuracy. The proposed algorithm is tested with a set of benchmark functions. Its accuracy and convergence trend performances are measured and recorded. A nonparametric Wilcoxon Sign Rank test is applied to statistically analyze the significance improvement of the SSCA accuracy in comparison to original SCA. Finding from the accuracy analysis indicates that the proposed SSCA algorithm significantly outperformed the original SCA. Moreover, from a graphical result, it shows that the SSCA has faster speed compared to another contestant algorithm.
Sine-Cosine algorithm (SCA) is an optimizationalgorithm formulated based on mathematical Sine and Cosine terms. It is widely used to solve various optimization problems. However the algorithm performance in terms of ...
详细信息
ISBN:
(纸本)9781538685464
Sine-Cosine algorithm (SCA) is an optimizationalgorithm formulated based on mathematical Sine and Cosine terms. It is widely used to solve various optimization problems. However the algorithm performance in terms of accuracy is not at optimum level. This paper presents an improved SCA with a new adaptive strategy based on an exponential term. The exponential term is adopted to establish a relationship between searching agents step size and fitness cost. The agents step size is exponentially changed due to the change of the fitness cost. The proposed algorithm is tested with a set of benchmark functions in comparison to the original SCA. A statistical analysis of the algorithms performance in terms of their accuracy is conducted. A Wilcoxon Sign Rank test is adopted to check significance level of the proposed algorithm as compared to the original SCA. Based on the simulation conducted, the adaptive strategy has resulted a significance improvement of the accuracy and convergence speed.
A two-layered high gain and wide bandwidth metamaterial antenna working at 24 GHz - 30.5 GHz for mm-Wave applications is presented in this paper. To design the antenna we apply a novel evolutionary algorithm, namely t...
详细信息
ISBN:
(纸本)9798350314762;9798350314755
A two-layered high gain and wide bandwidth metamaterial antenna working at 24 GHz - 30.5 GHz for mm-Wave applications is presented in this paper. To design the antenna we apply a novel evolutionary algorithm, namely the multi-trial vector-based differential evolution (MTDE). The metamaterial antenna has an overall compact size of 12.4 x 12.4 x 8.38 mm(3) including two substrates and the air gap. It is realized with a Rogers Duroid 5880 substrate 0.78 mm thick and a Rogers RO3010 as a superstrate 1.6 mm thick at an optimized distance above the radiation element. The radiation element is composed of a square-cut-at-the-four corners patch antenna. In addition, to enhance the antenna performance, both gain and bandwidth, a metasurface based on periodic metallic mushrooms which surround the radiation element is employed. Interelement distance between the metallic structures, their size and the distance between the two substrates are optimized. Simulated results show a significantly wide bandwidth ranging 24 GHz to 30.5 GHz and a high peak realized gain of 11.76 dB when the MTDE optimizer is applied. These features make the antenna a good candidate for 5G mm-Wave applications.
On-demand and real-time generation of arbitrary complex fields directly from the laser source holds significant appeal for myriad applications. In this Letter, we demonstrate a ring laser configuration capable of dyna...
详细信息
On-demand and real-time generation of arbitrary complex fields directly from the laser source holds significant appeal for myriad applications. In this Letter, we demonstrate a ring laser configuration capable of dynamically generating arbitrary transverse fields. In a ring laser resonator, two cascaded phase modulations are utilized, which permits the control of two beams with high efficiency and high fidelity. The zeroth-order beam is a fundamental Gaussian field that self-reproduces itself in the resonator. The first-order beam serves as the desired output field, which is separated from the selfreproduction mode to facilitate the on-demand manipulation of amplitude and phase. In the verification experiments,a series of typical Hermite–Gaussian(HG) modes, Laguerre–Gaussian(LG) modes, flat-top mode, and amplitude-only pattern“A” are generated from the ring laser configuration. This innovative ring laser resonator may open up new perspectives for the design of structured-light lasers, with potential impacts in applications such as particle manipulation, advanced microscopy, and next-generation optical communication.
Engine calibration poses a challenging multi-objective non-convex optimization problem due to its inherent complexity. In this study, we present a novel on-line engine calibration algorithm named Search Space Division...
详细信息
In this article, a novel performance-seeking control method based on deep neural network and interval analysis is proposed to obtain a better engine performance. A deep neural network modeling method which has stronge...
详细信息
In this article, a novel performance-seeking control method based on deep neural network and interval analysis is proposed to obtain a better engine performance. A deep neural network modeling method which has stronger representation capability than conventional neural network and can deal with big training data is adopted to establish an on-board model in the subsonic and supersonic cruising envelops. Meanwhile, a global optimization algorithm interval analysis is applied here to get a better engine performance. Finally, two simulation experiments are conducted to verify the effectiveness of the proposed methods. One is the on-board model modeling which compares the deep neural network with the conventional neural network, and the other is the performance-seeking control simulations comparing interval analysis with feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm, respectively. These two experiments show that the deep neural network has much higher precision than the conventional neural network and the interval analysis gets much better engine performance than feasible sequential quadratic programming, particle swarm optimization, and genetic algorithm.
With the continuous progress of society, the era of intelligence has arrived. Therefore, simulation of artificial intelligence (AI) and VCD is a hot topic of current research. Through research on intelligent algorithm...
详细信息
Gradually stiffer metamaterial has great value in many applications such as transportation, construction and aviation due to their adaptive characteristics under nonlinear varying loads. However, complex deformation m...
详细信息
Gradually stiffer metamaterial has great value in many applications such as transportation, construction and aviation due to their adaptive characteristics under nonlinear varying loads. However, complex deformation mechanisms and high non-linearity between parameters and performance in designing the gradually stiffer metamaterial hinder its development. This study proposes an efficient progressive design framework for the optimization of gradually stiffer metamaterial, in which topology optimization, parametric optimization and experiment analysis are considered as three main parts. Compared with the traditional design methods, the progressive design can reduce the design complexity and improve the optimization efficiency. For designing 3D gradually stiffer metamaterial, an initial configuration is obtained by the topology optimization. Then, the parametric optimization by means of an efficient global optimization algorithm based on the kriging surrogate model is developed to enhance the gradually stiffer property of the 3D periodic structure constructed by the initial configuration. Finally, the additive manufacturing is implemented to obtain various test pieces with typical structural parameters among the optimization process. Their mechanical characteristics are analyzed by compression experiments. Comparative analyses on the experimental and simulation data of various 3D structures demonstrate the effectiveness of the progressive design based on surrogate model in devising metamaterials with specific performances.
Titanium alanate Ti(AlH4)4 is a candidate material for high-density hydrogen storage that thus far has been scarcely investigated. This study determines the low energy structures of Ti(AlH4)4 by adopting a global opti...
详细信息
Titanium alanate Ti(AlH4)4 is a candidate material for high-density hydrogen storage that thus far has been scarcely investigated. This study determines the low energy structures of Ti(AlH4)4 by adopting a global optimization algorithm combined with density functional theories, and systematically compares their stabilities, electronic structures, and bonding properties with Mg(AlH4)2 and Ca(AlH4)2. Compared to other compounds, Ti(AlH4)4 is less stable and the Ti-H bond is of covalent nature with strong polarities. The covalent Ti-H interaction can weaken the Al-H bonds. Because both the ionic and covalent interactions of the Al-H bonds are the weakest in Ti(AlH4)4, it is favorable for the desorption of hydrogen. In this study, we determine the low energy structures of Ti(AlH4)4 and investigate their stabilities, electronic structures, and bonding properties. Ti(AlH4)4 is less stable and the covalent Ti-H interaction can weaken the Al-H bonds. Because both the ionic and covalent interactions of the Al-H bonds are the weakest in Ti(AlH4)4, it may be a promising hydrogen storage material. image
When rate-independent linear damping (RILD) is incorporated into a base-isolated structure, it achieves a similar response displacement reduction effect with significantly lower floor response acceleration compared wi...
详细信息
When rate-independent linear damping (RILD) is incorporated into a base-isolated structure, it achieves a similar response displacement reduction effect with significantly lower floor response acceleration compared with linear viscous damping (LVD) with the same loss factor. To address the undesirable stiffness added to an isolation layer when we adopt a mechanical device comprising a few branches of a spring-dashpot link to realize RILD, this study proposes canceling the undesirable isolator stiffness by adding an inerter element and reducing the isolator stiffness. A heuristic optimization method was developed to design the proposed mechanical device to mimic the behavior of RILD. A parametric survey on the optimal designs of the device suggests that the three branches of the spring-dashpot link work best in terms of practicality and feasibility. Seismic control performance was assessed using a 10-story base-isolated building mounted on linear and nonlinear isolation systems. Analyses of linear systems revealed that the proposed device achieved lower inter-story drifts and approximately 40% reduction in floor response acceleration with a 4% increase in isolator displacement compared with the LVD when subjected to high-frequency ground motions. Analyses of the nonlinear systems showed that the displacement control performance of the proposed model was slightly compromised when subjected to ground motions dominated by low-frequency components, thereby identifying a further challenge in developing a causal RILD device for nonlinear structures.
暂无评论