In the multi-UAV task allocation problem, one task may need several UAVs with specific capabilities to form a coalition to execute cooperatively. In this paper, considering the UAV coalition loss cost and time cost, an improved quantum genetic algorithm is proposed to solve the task allocation problem of multi-UAV coalition. On the basis of quantum genetic algorithm, the historical optimal solution retention mechanism and estimation of distribution algorithm are introduced to speed up the convergence speed and reduce the probability falling into the local optimum of the algorithm, respectively. Then, a gene repair strategy is used to improve the efficiency of the algorithm according to the problem background. Finally, the simulation results show that the proposed algorithm has more advantages than other comparison algorithms in terms of search ability and convergence speed in solving the task allocation problem of multi-UAV coalition.
Hollow spindle-like porous nitrogen-doped carbon nanofibers (HS-PNCNFs) were synthesized and chosen as cathode materials for flexible zinc-ion capacitors (FZICs). The synthesis was achieved through a combination of electrospinning and heat treatment techniques, incorporating poly(tetrafluoroethylene) nanoparticles (PTFE NPs) as sacrificial templates. This approach led to the creation of an open hollow spindle-like structure within the fibers, significantly including enhancing their high specific surface area (SSA) and defect level. When utilized as the cathode material in aqueous zinc-ion capacitors (AZICs), the HS-PNCNFs exhibited impressive performance, specific capacity of 105 mAh g–1 at 0.2 A g–1, excellent rate performance retaining 60% of capacity at 10 A g–1, and remarkable cycling stability maintaining 89.4% of capacity after 25,000 cycles. Additionally, in FZICs, the HS-PNCNF cathode exhibited satisfactory specific capacity and energy density, maintaining excellent stability even after 150 folding/unfolding cycles. This work not only demonstrates a controllable fabrication method for hierarchical porous carbon nanofibers with rich defects but also highlights their vast potential in flexible energy storage devices. The successful application of HS-PNCNFs in AZICs and FZICs suggests their broad applicability in various energy storage applications demanding high performance and flexibility.
Compared with cubic Cu 2 O, the Cu 2 O/Cu 2 S composite exhibits better photocatalytic hydrogen production. The catalytic hydrogen production of the Cu 2 O/Cu 2 S heterostructure reached 1076.95 μmol g −1 after 5 h of illumination.
Abstract Firstly, Sb‐SnO 2 /potassium titanate (Sb‐SnO 2 / KTO) was fabricated by a sol‐gel method, it was named ECF. and then Cu 7 S 4 nanorod arrays were grown on the surface of ECF by a hydrothermal method (Cu 7 S 4 NW/ECF).This article discusses the preparation method of Cu 7 S 4 NW/ECF composite photocatalyst to solve the problem of degradation of tetracycline hydrochloride under visible light. It is found that Cu 7 S 4 NW/ECF composite materials can be successfully prepared when Cu : S=1 : 1, and the Cu 7 S 4 NW/ECF composite has stronger photocatalytic activity then others, The degradation efficiency of tetracycline hydrochloride (TCH) by the composite can reach 98 % after 2 h. which is mainly attributed to the fact that Cu 7 S 4 is a near‐infrared material, and a tight heterojunction can be formed between Cu 7 S 4 and ECF, which expands the light response range of the material to a certain extent. At the same time, the direct Z‐type mechanism of Cu 7 S 4 NW/ECF composite in the process of photocatalysis is proposed, which is conducive to the separation of electrons and holes. Therefore, the Cu 7 S 4 NW/ECF composite material can effectively degrade tetracycline hydrochloride.
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