Genetic Algorithm for Solving the Problem of Optimizing Aircraft Landing Sequence and Times

Kulida, Elena

doi:10.1134/s0005117922030109

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…First, select a suitable parameter value, then calculate the optimal solution set of the functional relationship between the parameter and the global variable to carry out the control operation, finally, further modify the optimization results according to the specific situation until convergence, and keep cycling throughout the process to ensure that the system can meet certain requirements. Genetic algorithm is a global search method, and its main functions are as follows: first, select and reorganize cross descendants, and second, solve the optimal solution [13][14]. In practical application, we know that gene coding string cannot directly affect the optimization performance of parameters.…”

Section: Intelligent Optimization Control Strategymentioning

confidence: 99%

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Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

2023

KME

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Genetic algorithm is a global search optimization method, which has high efficiency and robustness in solving the control problems of complex systems. This paper first introduces the basic theory of genetic algorithm, coding method, fitness function design principle and other basic theoretical knowledge, then analyzes and studies them according to the model, establishes a simple and fast mathematical equation to solve the motor position and speed distribution law, and constructs a multi-objective optimization problem with robustness and efficiency based on the standard normal form system dynamic characteristic parameter self-tuning network. The test results show that the genetic algorithm can get an optimal solution when setting PID parameters, and the time to find the global optimal value is fast.

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Section: Intelligent Optimization Control Strategymentioning

confidence: 99%

“…These advanced methods can solve the problems existing in traditional industries and improve the output. However, due to their low production efficiency and high requirements for equipment, they cannot be widely used in the actual engineering field [1][2].…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

2023

KME

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“…From the advantages and disadvantages of the two algorithms, we can see that they are complementary. If the two algorithms can be combined to achieve complementary advantages, it will be of great research significance [7][8].…”

Section: Feasibility Of Combination Of Ga and Nnmentioning

confidence: 99%

Music Teaching Innovation in Primary and Secondary Schools based on Genetic Algorithm and Artificial Neural Network

2023

IJEIS

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At present, the academia has explored the innovation research of music teaching (MT) in PASS. Researchers have applied the combination of genetic algorithm (GA) and neural network (NN) to English teaching innovation, which has greatly improved the efficiency of English teaching. For this reason, this paper briefly analyzes GA and NN technology, and combines them to analyze the feasibility. Through the combination of GA and artificial NN, it is applied to the innovation research of MT in primary and secondary schools (PASS). With spectrum reading teaching as the main research object, it is proposed to carry out spectrum reading teaching with various technical means in combination with the algorithm. Finally, it is investigated and analyzed through experiments; it verifies the effectiveness of the innovative methods of MT in PASS proposed in this paper.

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A Comprehensive Survey on Multiple-Runway Aircraft Landing Optimization Problem

Shirini,

Aghdasi,

Saeedvand

2024

Int. J. Aeronaut. Space Sci.

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Genetic Algorithm for Solving the Problem of Optimizing Aircraft Landing Sequence and Times

Cited by 7 publications

References 9 publications

Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

Optimal Control Strategy of Construction Machinery Motor Considering Genetic Algorithm

Music Teaching Innovation in Primary and Secondary Schools based on Genetic Algorithm and Artificial Neural Network

A Comprehensive Survey on Multiple-Runway Aircraft Landing Optimization Problem

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