推迟 发表于 2025-3-23 11:35:02
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Embedded Mutation Strategies in Particle Swarm Optimization to Solve Camera Calibration Problem,s. This paper is an attempt to embed different mutation schemes in PSO and testing the different versions of PSO on camera calibration problem. Camera calibration problem is considered as one of the complex real-life problems in the field of image processing. In this paper, the extended particle swaFerritin 发表于 2025-3-23 20:32:00
Analysis of Nonlinear Optimization Problems Using Differential Evolution Algorithm,l evolution approach (DE) is a straight hunt technique parallel in nature with three decision parameters, namely, crossover rate, scaling factor, and population size. It is the progression of generation phase, mutation, and crossover followed by selection. DE has been useful to solve large number of周年纪念日 发表于 2025-3-24 00:04:21
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A Novel Entropy-TOPSIS Approach for Selecting Sustainable Logistics Centre Location Under Pythagoren intricate multi-criteria problems where ambiguous data and erroneous information are taken into account. One of the main problems in the research of logistics networks is the optimization of the location of sustainable logistics centres in order to reduce the operational expenses of sustainable lo持久 发表于 2025-3-24 08:46:50
Improved Jaya Algorithm with Inertia Weight Factor,f improvement in terms of outcome accuracy with a fast convergence speed, intensification (exploitation), and diversification (exploration). This work suggests an enhanced variant of the Jaya algorithm, named “W-Jaya,” by setting up a time-varying inertia weight factor with it. This method offers hi矿石 发表于 2025-3-24 12:14:22
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A State-of-the-Art Literature Review on Drone Optimization,on is considered as one of the latest and needed topic as there are numerous tasks that could be performed easily and effectively using drones. However, using drone for commercial, financial, military purposes is not an easy task. We have complied some of the work in this field to understand the working of the drone for various purposes.