宣传 发表于 2025-3-26 22:25:43

https://doi.org/10.1007/978-3-658-26484-0n exhaustive computation of SAD values for all elements of the search window. However, several fast BM algorithms have been lately presented to reduce the number of SAD operations by calculating only a fixed subset of search locations at the price of poor accuracy. In this chapter, a new algorithm b

暴行 发表于 2025-3-27 03:33:11

S. Weissman Dr. phil., Dipl. Psychologinl problems. This chapter describes the use of the Artificial Bee Colony (ABC) algorithm to accurately identify the solar cells’ parameters. The ABC algorithm is an evolutionary method inspired by the intelligent foraging behavior of honeybees. In comparison with other evolutionary algorithms, ABC ex

GRAVE 发表于 2025-3-27 08:08:05

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Canary 发表于 2025-3-27 10:03:28

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摆动 发表于 2025-3-27 16:57:41

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phase-2-enzyme 发表于 2025-3-27 21:42:02

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江湖郎中 发表于 2025-3-28 01:47:53

Multi-circle Detection on Images,evolved through the Artificial Bee Colony (ABC) algorithm so the best candidate (global optimum) can be fitted into an actual circle within the edge-only image. An analysis of the incorporated exhausted-sources memory is executed in order to identify potential local optima i.e. other circles. The ov

DAMP 发表于 2025-3-28 05:39:49

Template Matching, new bio-inspired algorithms have emerged with applications for detection, optimization and classification for its use in image processing. In this chapter, the Social Spider Optimization (SSO) algorithm is presented to reduce the number of search locations in the TM process. The SSO algorithm is ba

Devastate 发表于 2025-3-28 07:40:05

Motion Estimation,n exhaustive computation of SAD values for all elements of the search window. However, several fast BM algorithms have been lately presented to reduce the number of SAD operations by calculating only a fixed subset of search locations at the price of poor accuracy. In this chapter, a new algorithm b

Nerve-Block 发表于 2025-3-28 10:36:59

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查看完整版本: Titlebook: Evolutionary Computation Techniques: A Comparative Perspective; Erik Cuevas,Valentín Osuna,Diego Oliva Book 2017 Springer International Pu