Improving the optimization performance of NSGA-II algorithm by experiment design methods

Shi-dong, Qiao; Dai, Xiang; Liu, Zhong; Huang, Jincai; Zhu, Guangying

doi:10.1109/cimsa.2012.6269589

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…The genetic algorithm can end with convergence or end with the number of iterations [24]. After several iterations, the results began to stabilize.…”

Section: Numerical Resultsmentioning

confidence: 99%

Machine Learning Based Antenna Design for Physical Layer Security in Ambient Backscatter Communications

Hong

Liu

Kadoch

2019

Wireless Communications and Mobile Computing

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Ambient backscatter employs existing radio frequency (RF) signals in the environment to support sustainable and independent communications, thereby providing a new set of applications that promote the Internet of Things (IoT). However, nondirectional forms of communication are prone to information leakage. In order to ensure the security of the IoT communication system, in this paper, we propose a machine learning based antenna design scheme, which achieves directional communication from the relay tag to the receiving reader by combining patch antenna with log-periodic dual-dipole antenna (LPDA). A multiobjective genetic algorithm optimizes the antenna side lobe, gain, standing wave ratio, and return loss, with a goal of limiting the number of large side lobes and reduce the side lobe level (SLL). The simulation results demonstrate that our proposed antenna design is well suited for practical applications in physical layer security communication, where signal-to-noise ratio of the wiretap channel is reduced, communication quality of the main channel is ensured, and information leakage is prevented.

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“…The genetic algorithm can end with convergence or end with the number of iterations [24]. After several iterations, the results began to stabilize.…”

Section: Numerical Resultsmentioning

confidence: 99%

Machine Learning Based Antenna Design for Physical Layer Security in Ambient Backscatter Communications

Hong

Liu

Kadoch

2019

Wireless Communications and Mobile Computing

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“…is algorithm is better able to handle situations where there are not enough data sets and increases the effectiveness of getting results. In order to improve the performance of the algorithm, Xu Fangqiu in the literature [43] substituted the orthogonal array and the Taguchi method for the NSGA-II crossover operation. By choosing the neighbors with the greatest distance from one another for the crossover operation, Yijie Sun also enhanced the conventional NSGA-II crossover operation in the literature [44], which enhanced the convergence of the population distribution by utilizing hybridization.…”

Section: Literature Reviewmentioning

confidence: 99%

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

Yuan

Liu

2022

Mathematical Problems in Engineering

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The best configuration of passive filters in extra-high voltage systems is investigated in this study using a two-stage multiobjective decision-making (MODM) framework. A collection of Pareto solutions is found using an adaptive multipopulation-modified nondominated ranking genetic algorithm (AMP NSGA-II) in the first stage. The goals taken into account include the least fundamental reactive power compensation losses, overall cost and maintenance cost, and simultaneous minimum harmonic current distortion rate. The objective weights are determined and the optimum solution is chosen in the second stage using the criteria importance interrelationship (CRITIC) and similarity ranking preference technique (TOPSIS). A number of examples show how the suggested method performs more effectively than the conventional and well-known algorithm and can identify the relationship between the objective functions, indicating that the suggested scheme has better superiority in filters and has a promising future in the solution of multiobjective problems.

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“…Photovoltaic power generation: Photovoltaic power generation (PV) is the use of solar energy to convert light energy into electrical energy by using semiconductor materials made of semiconductor materials on the surface of its equipment [4]…”

Section: Photovoltaic Power Generationmentioning

confidence: 99%

Multi-objective operation optimization of regional integrated energy system based on NSGA-II algorithm

2021

E3S Web Conf.

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With the deepening of China’s energy market reform and the promotion of integrated energy services, the regional integrated energy system becomes an important development direction of energy supply system. In order to maximize the economic efficiency and reduce the air pollutant emission of the regional integrated energy system, the distributed power generation module and the cooling-heat-power (CCHP) triple-supply module are formed into a model, and the power balance, equipment capacity and environmental factors of the system are constrained with the objective function of minimizing the daily operation cost of the system as well as minimizing the air pollutant emission. Based on the mathematical system framework model and the optimal operation control strategy, the NSGA-II algorithm is used to solve the multi-objective programming model to obtain the Pareto solution set, and the hourly output of the optimal operation of the system equipment with both economic and environmental benefits is obtained. The results show that the daily operating costs and pollutant emissions of the district energy system are significantly reduced compared with those without optimization, which effectively solves the problems of low operating efficiency and serious environmental pollution of the district energy system and achieves the optimal operation with both economic and environmental benefits.

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Improving the optimization performance of NSGA-II algorithm by experiment design methods

Cited by 10 publications

References 8 publications

Machine Learning Based Antenna Design for Physical Layer Security in Ambient Backscatter Communications

Machine Learning Based Antenna Design for Physical Layer Security in Ambient Backscatter Communications

Passive Power Filter Optimization Problem Based on Adaptive Multipopulation NSGA-II and CRITIC-TOPSIS

Multi-objective operation optimization of regional integrated energy system based on NSGA-II algorithm

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