负担 发表于 2025-3-25 06:45:25

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贞洁 发表于 2025-3-25 10:43:30

Multi-sensor Satellite Image Analysis Using Niche Genetic Algorithm for Flood Assessment,SAR image. Further, the resultant images are overlaid to analyze the extent of the flood in individual land classes. A performance comparison of these techniques (MSC and NGA) is presented. From the results obtained, we deduce that the NGA is efficient.

Lacunar-Stroke 发表于 2025-3-25 15:11:22

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anagen 发表于 2025-3-25 16:23:50

A Clustering Particle Based Artificial Bee Colony Algorithm for Dynamic Environment,nd it is expected that the clusters locate the optima in the problem. Experimental benchmark set that appeared in IEEE CEC 2009 has been used as test-bed and our .ABC (Clustering Particle ABC) algorithm is compared against 4 state-of-the-art algorithms. The results show the superiority of our .PABC approach on dynamic environment.

Enervate 发表于 2025-3-25 20:57:57

Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms,n studies, it is observed that a mutation clock implementation is computationally quick and also efficient in finding a solution close to the optimum on four different problems used in this study. Moreover, parametric studies on the polynomial mutation operator identify a working range of values of

悬崖 发表于 2025-3-26 00:37:57

Discrete Harmony Search Algorithm for Dynamic FJSSP in Remanufacturing Engineering,r the dynamic flexible job shop scheduling problem (FJSSP) in remanufacturing. Firstly, the dynamic flexible job shop scheduling in remanufacturing engineering is described. Secondly, the harmony search algorithm is discretized for the dynamic flexible job shop scheduling problem. Thirdly, a new met

ANT 发表于 2025-3-26 07:39:02

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engagement 发表于 2025-3-26 09:45:03

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依法逮捕 发表于 2025-3-26 14:27:56

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沙文主义 发表于 2025-3-26 20:07:27

Performance Evaluation of Bacterial Foraging Optimization Algorithm for the Early Diagnosis and Trable disorder that is greater than the normal aging controls. In this paper we explored the ability of specifically designed and trained Artificial Neural Network (ANN) combined with bacterial foraging optimization (BFO) algorithm, to discriminate between the MRI of patients with AD and their age mat
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查看完整版本: Titlebook: Swarm, Evolutionary, and Memetic Computing; Third International Bijaya Ketan Panigrahi,Swagatam Das,Pradipta Kumar Conference proceedings