Steel dome structures,with their striking structural forms,take a place among the impressive and aesthetic load bearing systems featuring large internal spaces without internal *** this paper,the seismic design optimi...
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Steel dome structures,with their striking structural forms,take a place among the impressive and aesthetic load bearing systems featuring large internal spaces without internal *** this paper,the seismic design optimization of spatial steel dome structures is achieved through three recent metaheuristic algorithms that are water strider(WS),grey wolf(GW),and brainstormoptimization(BSO).The structural elements of the domes are treated as design variables collected in member *** structural stress and stability limitations are enforced by ASD-AISC ***,the displacement restrictions are considered in design *** metaheuristic algorithms are encoded in MATLAB interacting with SAP2000 for gathering structural reactions through open application programming interface(OAPI).The optimum spatial steel dome designs achieved by proposed WS,GW,and BSO algorithms are compared with respect to solution accuracy,convergence rates,and reliability,utilizing three real-size design examples for considering both the previously reported optimum design results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization(HBO)algorithm.
In view of the problems of high operating costs and low resource utilization rate are caused by unreasonable task allocation among logistics providers in the supply chain of intelligent manufacturing, a collaborative ...
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ISBN:
(纸本)9798350334722
In view of the problems of high operating costs and low resource utilization rate are caused by unreasonable task allocation among logistics providers in the supply chain of intelligent manufacturing, a collaborative model of logistics providers in the supply chain of intelligent manufacturing is proposed. By establishing an optimal logistics task cost model and an independent logistics task allocation model, the logistics providers oriented to intelligent manufacturing can realize horizontal and efficient collaboration. In order to improve the speed of solving the model, the improved brain storm optimization algorithm and sealed bid auction mechanism are used to solve the model. The simulation results show that the model proposed in this paper can effectively determine the reasonable redistribution of multi-logistics providers and multi logistics-tasks in the intelligent manufacturing supply chain, and realize the horizontal coordination of logistics providers in the supply chain with low cost, high efficiency and high service quality.
The technology for path planning of independent mobile robots is mature, but multi-robot path planning for unified scheduling and allocation is much more complex than single-robot path planning. This requires consider...
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The technology for path planning of independent mobile robots is mature, but multi-robot path planning for unified scheduling and allocation is much more complex than single-robot path planning. This requires consideration of collision problems between robots, general optimal path problems, etc. This paper proposes the use of the BSO algorithm for unified scheduling and allocation of multiple robots to improve the efficiency of task execution. The BSO algorithm is a new type of intelligent optimizationalgorithm that uses clustering ideas to search for local optimal solutions and obtains global optimal solutions by comparing local optimal solutions. It also uses mutation ideas to increase the diversity of the algorithm and avoid becoming trapped in local optimal solutions. Using the GA/SA algorithm and the proposed BSO algorithm for computer simulation comparison, we obtained the optimal path planning for the three robots under unified scheduling. The total distance of the optimal path obtained by the BSO algorithm was 27.36% and 25.31% shorter than those of the GA and SA algorithms, respectively. To further test the performance of the BSO algorithm, we conducted additional experiments on the unified scheduling of multiple robots. The experimental results show that the proposed BSO algorithm can significantly improve the efficiency. The multi-robot under unified scheduling performs point-to-point path planning without collisions, and they can traverse all task target points in the shortest path without repetition. This algorithm is suitable for multi-robot tasks in large-scale environments.
As a significant approach to local utilization of clean renewable energy, the dispersed wind power (DWP) is becoming more and more widespread in engineering applications. With the fluctuating wind power widely and dis...
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As a significant approach to local utilization of clean renewable energy, the dispersed wind power (DWP) is becoming more and more widespread in engineering applications. With the fluctuating wind power widely and dispersedly integrated into distribution networks, it is urgent and pressing to effectively enhance the penetration rate of wind power based on the safe operation of distribution networks. This paper takes full advantage of the power regulation ability of wind turbines to actively participate in the operation of distribution networks, and then an optimal operation model of distribution networks is established with the optimization objectives of high penetration of DWP and maximum correntropy of node voltage. Aiming at the characteristics of the proposed model, the multi-objective brain storm optimization algorithm is adopted to solve the model to achieve the Pareto solution set, and the fuzzy membership function is used to determine the optimal operation scheme from the solution set. The simulation results on the expanded IEEE 33 bus system indicate the rationality of the proposed optimal operation strategy for distribution networks with high penetration of DWP. Meanwhile, the feasibility of the optimal operation scheme is verified through the case of a practical demonstration project.
In view of the problems of high operating costs and low resource utilization rate are caused by unreasonable task allocation among logistics providers in the supply chain of intelligent manufacturing,a collaborative m...
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In view of the problems of high operating costs and low resource utilization rate are caused by unreasonable task allocation among logistics providers in the supply chain of intelligent manufacturing,a collaborative model of logistics providers in the supply chain of intelligent manufacturing is *** establishing an optimal logistics task cost model and an independent logistics task allocation model,the logistics providers oriented to intelligent manufacturing can realize horizontal and efficient *** order to improve the speed of solving the model,the improved brain storm optimization algorithm and sealed bid auction mechanism are used to solve the *** simulation results show that the model proposed in this paper can effectively determine the reasonable redistribution of multi-logistics providers and multi logistics-tasks in the intelligent manufacturing supply chain,and realize the horizontal coordination of logistics providers in the supply chain with low cost,high efficiency and high service quality.
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