Hybrid rice optimization (HRO) is a novel swarm intelligence algorithm inspired by the breeding process of Chinese three-line hybrid rice, its population is classified into three types such as the maintainer, restorer and sterile line and several stages including hybridization, selfing and renewal ...
"A hybrid rice optimization algorithm." In 2016 11th International Conference on Computer Science & Education (ICCSE). doi:10.1109/iccse.2016.7581575 River Formation: Rabanal P, Rodr'\iguez I, Rubio F (2007). "Using River Formation Dynamics to Design Heuristic Algorithms." In Lecture Notes in...
Hybrid rice breeding for exploiting hybrid vigor, heterosis, has greatly increased grain yield. However, the heterosis-related genes associated with rice grain production remain largely unknown, partly because comprehensive mapping of heterosis-related traits is still labor-intensive and time-consuming. He...
The existing slime mould algorithm clones the uniqueness of the phase of oscillation of slime mould conduct and exhibits slow convergence in local search s
Weight Cooperative Self-Mapping Chaos Optimization Algorithm 1. Introduction Agriculture is important for human life because it provides food, fiber, and other essential products for human survival and development [1]. Rice is one of the main food crops in many countries. The yield of rice crops...
This method effectively improves the identification of rice varieties. In addition, Helong Yu et al.10 proposed a deep learning optimization algorithm, which has significantly improved the detection of tomato pests. Deep learning used in object detection offers better generalization and robustness. The...
Middle rice 0.1818 0.4524 0.6393 0.1213 Late rice 0.2219 0.4919 0.2339 0.0675 2.5. DQN algorithm for irrigation decision A Markov property is present in the process of irrigation decision-making. The irrigation decision is made based on soil water content and crop condition in the observation stage...
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. - POI-WX/DeepSpeed
Next, evolutionary algorithms (EAs) as a type of optimization algorithm have indicated the usefulness in ANNs [71]. On the other hand, computational intelligence (CI) had a speedy growth and turned into a diversity subdomain of artificial intelligence (AI) that offered a variation of methods (...
Mirjalili S,Hashim SZM (2010) A new hybrid PSOGSA algorithm for function optimization. In: 2010 International Conference on Computer and Information Application. pp 374–377 Mosavi MR, Khishe M (2017) Training a feed-forward neural network using particle swarm optimizer with autonomous groups for ...