A Hybrid Algorithm Based on Genetic Algorithm and Simulated Annealing for Solving Portfolio Problem

Wang, Zhufang; Cui, Dong-hong

doi:10.1109/bife.2009.34

Cited by 10 publications

(6 citation statements)

References 4 publications

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“…It was firstly applied to the inversion of oblique ionogram by Song Huan et al [19]. Because of the combination of the advantages of the two algorithms, HGA has high accuracy and efficiency [20]. When it is used in oblique inversion, the results of Song Huan’s experiments show that HGA performs better in accuracy and stability than GA and SA.…”

Section: Resultsmentioning

confidence: 99%

A Novel Ionospheric Sounding Network Based on Complete Complementary Code and Its Application

Liu

Yang

et al. 2019

Sensors

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In this paper, complete complementary code (CCC) sequences are applied to a High Frequency (HF) ionospheric sounding network. Ionosondes distributed at multiple locations use the mutually orthogonal CCC sequences to conduct vertical soundings synchronously. At the same time, thanks to the omnidirectional antennas, every station can receive the oblique echoes transmitted from the others. Due to the orthogonality between the code sequences, both vertical and oblique ionograms can be simultaneously obtained and completely separated. Through this method, the sounding efficiency can be enhanced, and the inversion difficulty can be reduced. Further, by using the data assimilation method, vertical and oblique sounding results can be combined to obtain a wide range of regional ionospheric characteristics. To verify the performance of this kind of sounding network, validation experiments are implemented to demonstrate that vertical and oblique ionograms can be obtained independently at the same time and inverted separately and that the maps of foF2 parameters obtained by using the data assimilation method provide more details than single vertical or oblique sounding.

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Section: Resultsmentioning

confidence: 99%

A Novel Ionospheric Sounding Network Based on Complete Complementary Code and Its Application

Liu

Yang

et al. 2019

Sensors

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“…4) Cool down, adjust the temperature parameter, and enter the next round of loop. 5) Stop the algorithm when the temperature reaches the lowest temperature [12].…”

Section: Analysis Of Improved Sarsa Algorithmmentioning

confidence: 99%

Aircraft Taxiing Path Planning Based on Improved SARSA Algorithm

Zhang,

Wang,

Wang

et al. 2024

Preprint

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Aircraft taxiing constitutes a pivotal component of airport operations, and curtailing taxiing duration is a primary strategy for enhancing airport operational efficiency. To actualize efficient airport operations and alter the current state of relying solely on manual apron control, this study, given the unique environment of aircraft taxiing, employs the improved SARSA algorithm to plan the taxiing path of aircraft. Through simulation, it is verified that this algorithm surpasses the traditional SARSA algorithm in terms of path length planning and iteration times, thereby providing controllers with superior decision-making assistance and reference, and efficiently planning a shorter path.

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“…In addition, many scholars proved that the HGA is better than the GA and SA (Gui Weihua et al, 2001;Wu Haoyang et al, 2000;Zhou Li and Huang Suzhen, 2005;Wang et al, 2009). However, these articles did not analyze the stability of the HGA.…”

Section: Introductionmentioning

confidence: 97%

“…To overcome the shortcomings of GA and SA, some scholars combined them to form a new kind of optimization method (HGA) in the field of computational science, because there are direct complements between GA and SA, such as, the global search ability of GA is strong and the local search ability is weak, while the SA has strong local search ability and weak global search ability, so we can combine them together and make full use of them. In addition, many scholars proved that the HGA is better than the GA and SA (Gui Weihua et al, 2001;Wu Haoyang et al, 2000;Zhou Li and Huang Suzhen, 2005;Wang et al, 2009). However, these articles did not analyze the stability of the HGA.…”

Section: Introductionmentioning

confidence: 99%

Inversion of Oblique Ionograms Based on Hybrid Genetic Algorithm

Song

Zhao

et al. 2014

Chinese J of Geophysics

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The oblique sounding is a powerful tool for acquiring ionospheric information, and we can get the structural parameters related to ionosphere by inversing the oblique ionogram. Genetic algorithm (GA) is a widely used inversion method which can reduce the non-uniqueness of the inversion problems without depending on the initial estimation, but the accuracy and reliability of GA's inversion results may be decreased due to "premature convergence" and inferior local search ability. So an improved hybrid genetic algorithm (HGA) based on simulated annealing algorithm (SA) is proposed and firstly applied to inversion of oblique ionogram. HGA combines the advantages of GA and SA together and makes full use of them, so it has a strong global search ability and local search ability. To verify the reliability and stability of HGA's inversion results, we firstly use GA, SA, and HGA to inversion of the synthetic oblique ionogram and compare the inversion results of the three algorithms, find that HGA's results are nearest to the real values and its needed iterations are also much smaller than others. The inversion results include the critical frequency, the height of maximum electron density and half-thickness. Then, comparing the influences on inversion results by changing the population size and the total iterations, we find that the HGA effectively reduces the influences. Lastly, we use the three algorithms to invert the real ionograms and compare the inversion results with the vertical data in the midpoint of transmitting and receiving site. The results show that the stability and the searching optimal solution ability of HGA are obviously better than the GA and SA, and its inversion results are reliable, so HGA has strong referential significance and practical value for the inversion of real ionograms.

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A Hybrid Algorithm Based on Genetic Algorithm and Simulated Annealing for Solving Portfolio Problem

Cited by 10 publications

References 4 publications

A Novel Ionospheric Sounding Network Based on Complete Complementary Code and Its Application

A Novel Ionospheric Sounding Network Based on Complete Complementary Code and Its Application

Aircraft Taxiing Path Planning Based on Improved SARSA Algorithm

Inversion of Oblique Ionograms Based on Hybrid Genetic Algorithm

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