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A bi-population immune algorithm for weapon transportation support scheduling problem with pickup and delivery on aircraft carrier deck

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Defence Technology（防务技术） 2023年第4期22卷 119-134页

作者： Fang Guo Wei Han Xi-chao Su Yu-jie Liu Rong-wei Cui Naval Aviation University No.188Ermalu RoadZhifu DistrictYantai264001Shandong ProvinceChina

The weapon transportation support scheduling problem on aircraft carrier deck is the key to restricting the sortie rate and combat capability of carrier-based *** paper studies the problem and presents a novel solution *** the interference of the carrier-based aircraft deck layout on the weapon transportation route and precedence constraint into consideration,a mixed integer formulation is established to minimize the total objective,which is constituted of makespan,load variance and accumulative transfer time of support *** approach is developed for the ***,based on modeling the carrier aircraft parked on deck as convex obstacles,the path library of weapon transportation is constructed through visibility graph and Warshall-Floyd *** then propose a bi-population immune algorithm in which a population-based forward/backward scheduling technique,local search schemes and a chaotic catastrophe operator are ***,the randomkey solution representation and serial scheduling generation scheme are adopted to conveniently obtain a better *** Taguchi method is additionally employed to determine key parameters of the ***,on a set of generated realistic instances,we demonstrate that the proposed algorithm outperforms all compared algorithms designed for similar optimization problems and can significantly improve the efficiency,and that the established model and the bi-population immune algorithm can effectively respond to the weapon support requirements of carrier-based aircraft under different sortie missions.

关键词： Carrier-based aircraft Weapon transportation support scheduling pickup and delivery Bi-population immune algorithm

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A Hybrid Genetic Algorithm for the Traveling Salesman Problem with pickup and delivery

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International Journal of Automation and computing 2009年第1期6卷 97-102页

作者： Fang-Geng Zhao Jiang-Sheng Sun Su-Jian Li Wei-Min Liu Vehicle Management Institute Bengbu 233011 PRC Department of Logistics Engineering University of Science and Technology Beijing Beijing 100083 PRC Ordnance Technology Research Institute Shijiazhuang 050003 PRC

In this paper, a hybrid genetic algorithm （GA） is proposed for the traveling salesman problem （TSP） with pickup and delivery （TSPPD）. In our algorithm, a novel pheromone-based crossover operator is advanced that utilizes both local and global information to construct offspring. In addition, a local search procedure is integrated into the GA to accelerate convergence. The proposed GA has been tested on benchmark instances, and the computational results show that it gives better convergence than existing heuristics.

关键词： Genetic algorithm (GA) pheromone-based crossover local search pickup and delivery traveling salesman problem(TSP).

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维普期刊数据库

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Emergency Dispatch under Failure Condition of Urban pickup and delivery Task

Emergency Dispatch under Failure Condition of Urban Pickup a...

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2015中国汽车工程学会年会

作者： Jiandong Cao Jiawen Li Aomuhan Zhang China Academy of Transportation Sciences Zhejiang University of Technology

Two phase emergency dispatch algorithm which treats failed customer and failed route individually is put forward in this thesis,which is based on reason analysis of why urban pickup and delivery task *** customer is dealt with classification solving method,while failed route is dealt with improved downhill *** example in 36 customers validates that,emergency dispatch algorithm is effective and in time under failure condition of pickup and delivery task,and thus the dispatch solution is executed from breaking down.

关键词： logistics pickup and delivery emergency dispatch

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A hybrid genetic algorithm for the vehicle routing problem with simultaneous pickup and delivery

A hybrid genetic algorithm for the vehicle routing problem w...

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2009中国控制与决策会议

作者： Fanggeng Zhao~1,Dong Mei~1,Jiangsheng Sun~2,Weimin Liu~3 1.Vehicle Management Institute,Bengbu 233011,China 2.Ordnance Technoloev Research Institute,Shiiiazhuang 050003,China 3.School of Mechanical Engineering,Hebei Polytechnic University,Tangshan 063009,China

The vehicle routing problem with simultaneous pickup and delivery is an important variation of VRP where customers require simultaneous pickup and delivery *** this paper,we proposed a hybrid genetic algorithm to solve this *** the proposed algorithm,we proposed a pheromone-based crossover operator that utilizes both the local and global information to construct *** local information used in crossover operator includes edge lengths and adjacency relations,while the global information is stored as pheromone *** improve the performance of genetic algorithm,a local search procedure is integrated into GA,and acts as the mutation *** hybrid algorithm was tested on benchmark instances,and experimental results are conclusively in favor of our algorithm.

关键词： Genetic algorithm Pheromone-based crossover Vehicle routing pickup and delivery

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Crowdsourcing Takeout Distribution Route Optimization Considering pickup and delivery

Crowdsourcing Takeout Distribution Route Optimization Consid...

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第30届中国控制与决策会议

作者： Xueyan Li Yisong Li School of Economics and Management Beijing jiaotong University

This paper discusses the combinatorial optimization problem of order allocation and distribution route optimization on crowdsourcing takeout O2 O *** problem of takeout O2 O platform is how to match crowdsourcing workers in different locations with takeout orders and optimize the distribution route to achieve the lowest cost on the premise of fulfilling all current *** paper solves the problem by minimizing the total cost which contains distribution cost and time cost considering the locations of crowdsourcing workers,the distribution process of pickup and delivery,time constraint and so *** model is solved by MATLAB and the results are analyzed to provide support for decision-making to reduce the distribution cost of takeout O2 O platform.

关键词： Crowdsourcing takeout pickup and delivery route optimization

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Multiple vehicle routing problem integrated reverse logistics with fuzzy reverse demands

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Journal of Southeast University(English Edition) 2008年第2期24卷 222-227页

作者：李建达庆利东南大学经济管理学院

A new type of vehicle routing problem （VRP）, multiple vehicle routing problem integrated reverse logistics （MVRPRL）, is studied. In this problem, there is delivery or pickup （or both） and uncertain features in the demands of the clients. The deliveries of every client as uncertain parameters are expressed as triangular fuzzy numbers. In order to describe MVRPRL, a multi-objective fuzzy programming model with credibility measure theory is constructed. Then the simulationbased tabu search algorithm combining inter-route and intra-route neighborhoods and embedded restarts are designed to solve it. Computational results show that the tabu search algorithm developed is superior to sweep algorithms and that compared with handling each on separate routes, the transportation costs can be reduced by 43% through combining pickups with deliveries.

关键词： reverse logistics pickup and delivery credibility measure theory tabu search algorithm fuzzy simulation

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维普期刊数据库

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Efficient Rescue for Resilient Multi-Robot Systems against Actuation Attacks

Efficient Rescue for Resilient Multi-Robot Systems against A...

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第43届中国控制会议

作者： Hongru Li Xin Gong School of Cyber Science and Engineering Southeast University

The widespread application of intelligent storage systems has put forward higher requirements for security. In this work, we consider the resilience of multi-robot systems(MRSs) in pickup and delivery tasks against actuation attacks. The attacker can disrupt the normal motion of key robots with an intelligent strategy, and thus jeopardize the cooperation among robots. A three-layered decision framework is proposed to suppress the intelligent attacks. The first layer introduces a defense strategy implemented through a counterfactual rescue mode allocation mechanism. The mechanism dynamically assesses the benefit differences between rescuing others for resilience and conducting self-tasks for efficiency. The second layer employs a bi-level programming method for pickup/delivery mode allocations and task assignments. Then, the third layer calculates the robots' collision-free path using a mixed integer program. The practicality and resilience of this framework against strategic actuation attacks have been demonstrated through numerical simulations involving various MRS scales and task burdens.

关键词： Efficient Rescue Task Assignment Multi-Robot Systems pickup and delivery Actuation Attacks

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