Optimization Method for Coordination Deployment of Air Defense System Based on Improved Genetic Algorithm

Xue, Naiyang; Ding, Derui; Ding, Jie; Ma, Bo; Jia, Yutong

doi:10.1109/imcec51613.2021.9482175

Cited by 5 publications

(3 citation statements)

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“…Literature [4]- [6] used a BP neural network distraction for the analysis of charging pile siting to solve the optimal siting problem. The literature [7]- [8] firstly solved the planning model by analyzing and evaluating the charging demand of users and introducing the user charging demand evaluation function into the charging pile siting planning model. In the current study, the data on the cost of building stations, the service level of charging piles, and the queuing for charging are mainly used for the siting of charging piles.…”

Section: Introductionmentioning

confidence: 99%

Research on optimization of charging pile siting based on immune algorithm

Zheng

Wang

et al. 2023

Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022)

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Aiming at the problem of supply and demand that a large number of charging piles are idle, and the charging of some users is not satisfied, an Immune Algorithm (IA) based charging pile location optimization model is proposed. Give full consideration to affect the charging pile location of multivariate data, such as the data, the number of parking queued up for the charging data, etc., has established the mathematical model of charging pile location selection problem. Secondly, from the perspective of the user, based on the user to the shortest charging pile distance, time, at least for the target's location optimization model, in the regional scale adaptive search for charging pile location. Finally, through the simulation experiment, the rationality and effectiveness of the immune algorithm for optimizing the location of charging piles are verified, which provides a reference for the scientific location of charging piles.

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Section: Introductionmentioning

confidence: 99%

Research on optimization of charging pile siting based on immune algorithm

Zheng

Wang

et al. 2023

Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022)

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“…Te confguration of antiaircraft frepower units is not only the key link of air defense on the ground but also a hot issue in air defense/antimissile research [3][4][5][6][7][8]. At present, the research on the air defense frepower confguration of warships mainly focuses on the air defense formation confguration of aircraft carrier formations [9][10][11], ship formations [12][13][14], and air defense ships in maritime areas [15][16][17][18]. Among these studies, Zhao and Liu [12] analyzed the basic principles of the formation of air defense area and established an optimization model and algorithm for the formation deployment of two ships in a maritime formation.…”

Section: Introductionmentioning

confidence: 99%

“…Rao and Ravishankar [17] proposed a three-stage method based on game theory to study the deployment of air defense resources to maximize the coverage and performance of radar systems under various terrain conditions. Aiming at the problem of coordinated deployment of air defense weapon systems in multiple important bases to defend against UAV attacks, Xue et al [18] constructed a multiweapon cooperative defense model according to the performance of each defense system, and further designed a genetic algorithm to solve it. However, few studies were conducted on the formation confguration of the naval formation and the cooperative air defense operations of the strategic locations on the sea.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimization of Air Defense Firepower Configuration for Warship Cooperating with Strategic Location on the Sea

Zhao

Sun

et al. 2023

Mathematical Problems in Engineering

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Aiming at the problem of optimizing the firepower configuration for warships cooperating with strategic locations on the sea, the influence of air defense elements on firepower configuration is analyzed comprehensively, and the constraints of firepower configuration are put forward. Combined with factors such as the forward distance of the warship, the depth of the defense, the angle of the combat sector, and the direction of the enemy’s attack, based on the coastal defense forces and the warship, the firepower configuration models of air defense at a strategic location on the sea for a single warship and two warships’ coordinated air defense at important places are established, respectively. The forward range of a single warship and two warships’ cooperative air defense at sea is determined, and the defense depth expectation calculation formula is given. And according to the configuration of air defense firepower of the warship cooperating with strategic locations on the sea, the warship cooperating with maritime key area defense effectiveness model is constructed by using the random service system theory. Finally, under the hypothetical conditions, the numerical simulation experiments show that the proposed model and calculation formula are reasonable and effective, which can provide a certain theoretical basis for the firepower configuration of warships cooperating with strategic locations on the sea.

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