Onerous 发表于 2025-3-28 14:46:06

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Tincture 发表于 2025-3-28 21:47:16

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Affection 发表于 2025-3-29 02:53:19

A Population Adaptive Differential Evolution Strategy to Light Configuration Optimization of Photomlation Adaptive Differential Evolution strategy to the problem of generating an optimal light configuration for photometric stereo. For ‘n’ lights, any 2./n of orthogonal light directions minimizes the uncertainty in scaled normal computation. The assumption is that the camera noise is additive and

NEEDY 发表于 2025-3-29 03:53:18

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事先无准备 发表于 2025-3-29 10:01:43

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bypass 发表于 2025-3-29 14:51:01

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homocysteine 发表于 2025-3-29 15:45:34

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ESO 发表于 2025-3-29 23:05:15

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Mosaic 发表于 2025-3-30 01:07:28

Analyzing the Explorative Power of Differential Evolution Variants on Different Classes of Problemst of benchmark function. We have chosen fourteen different variants of DE and fourteen benchmark functions grouped by feature: Unimodal Separable, Unimodal NonSeparable, Multimodal Separable and Multimodal NonSeparable. Fourteen variants of DE were implemented and tested on these fourteen functions

Evocative 发表于 2025-3-30 05:59:44

A Self Adaptive Differential Evolution Algorithm for Global Optimization,propose a self adaptive DE named ADE where choice of control parameter F and Cr is not fixed at some constant value but is taken iteratively. The proposed algorithm is further modified by applying trigonometric mutation in it and the corresponding algorithm is named as ATDE. The performance of ATDE
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查看完整版本: Titlebook: Swarm, Evolutionary, and Memetic Computing; First International Bijaya Ketan Panigrahi,Swagatam Das,Subhransu Sekh Conference proceedings