An improved CACO algorithm based on adaptive method and multi-variant strategies

Deng, Wu; Zhao, Huimin; Liu, Jingjing; Yan, Xiaolin; Li, Yuanyuan; Yin, Lifeng; Ding, Chuanhua

doi:10.1007/s00500-014-1294-9

Cited by 61 publications

(29 citation statements)

References 33 publications

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“…Ultimately, most ants are focused on the shortest path from the source. The ACO algorithm has strong robustness, distributed cooperation and so on, it has been widely applied in traveling salesman path optimization, shop scheduling, logistics distribution, data mining, image processing, network communication, and so on [2][3][4][5][6]. The ACO algorithm become one of the most effective algorithms to solve combination optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Research on an Improved Ant Colony Optimization Algorithm for Solving Traveling Salesmen Problem

Lei¹,

Wang²

2016

IJDTA

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Section: Introductionmentioning

confidence: 99%

Research on an Improved Ant Colony Optimization Algorithm for Solving Traveling Salesmen Problem

Lei¹,

Wang²

2016

IJDTA

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“…It can realize the integration of dialectical logic and mathematical logic, the unification of symbolic processing and numerical processing and reasoning process and algorithm process by the concept and process knowledge in order to realize the intelligent fault diagnosis method of equipment. The intelligent fault diagnosis method provides people with the powerful tool for solving the fault diagnosis problem of complex system [3][4][5].At present, a lot of scholars have studied the field of intelligent fault diagnosis and proposed a variety of intelligent fault diagnosis technologies [6][7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A novel hybrid intelligent fault diagnosis method based on improved RBF neural network

Liu¹

2016

Proceedings of the 2016 International Conference on Economics and Management Innovations

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Abstract. The radial basis function neural network (RBFNN) is a great potential artificial intelligence technology and can effectively realize the fault diagnosis for small sample and nonlinear problem. But the parameters of RBFNN model seriously affects the generalization ability and diagnosis accuracy on the great extent. So an improved differential evolution algorithm based on dynamic adaptive adjustment strategy is proposed to optimize the parameters of RBFNN model for obtaining the optimal RBFNN(DASDERBFNN) method. Then the proposed DASDERBFNN method is used to construct a new fault diagnosis (DSDRBFNFD) method. The experiment results show that the proposed DSDRBFNFD method can obtain the higher accuracy of fault diagnosis and is effective fault diagnosis for the engine.

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“…Deng et al [48] proposed an improved PSO algorithm for solving the gate assignment problem. Other solving methods are proposed [49][50][51][52].…”

Section: Related Workmentioning

confidence: 99%

Study on an Airport Gate Reassignment Method and Its Application

Zhao

2017

Symmetry

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Bad weather, mechanical failures, air control, and crew members of the discomfort health are very likely to cause flight delays. If these events occur, decision-makers of airport operation must rediscover the flight schedules through reassigning gates to these flights, delaying flights, and canceling flights. Therefore, it is important to study the recovery strategy with the feasibility and the least cost for delayed flights and to improve the airport operation efficiency. In this paper, a mathematical model of gate reassignment based on the objectives of the loss of passengers, airport operating, and airlines, and the most important index of disturbance value of the gate reassignment for delayed flights is constructed. Then, the genetic algorithm (GA) and ant colony optimization (ACO) algorithm are combined in order to propose a two-stage hybrid(GAOTWSH) algorithm, which is used to solve the constructed mathematical model of gate reassignment for delayed flights. The test data from the operations of the one airport is used to simulate and demonstrate the performance of the constructed mathematical model of gate reassignment for irregular flights. The results show that the proposed GAOTWSH algorithm has better optimization performance and the constructed gate reassignment model is feasible and effective. The study provides a new idea and method for irregular flights.

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An improved CACO algorithm based on adaptive method and multi-variant strategies

Cited by 61 publications

References 33 publications

Research on an Improved Ant Colony Optimization Algorithm for Solving Traveling Salesmen Problem

Research on an Improved Ant Colony Optimization Algorithm for Solving Traveling Salesmen Problem

A novel hybrid intelligent fault diagnosis method based on improved RBF neural network

Study on an Airport Gate Reassignment Method and Its Application

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