Titlebook: Intelligent Computing and Optimization; Proceedings of the 6 Pandian Vasant,Mohammad Shamsul Arefin,Roman Rodri Conference proceedings 2023

Retina

書目名稱Intelligent Computing and Optimization影響因子(影響力)




書目名稱Intelligent Computing and Optimization影響因子(影響力)學(xué)科排名




書目名稱Intelligent Computing and Optimization網(wǎng)絡(luò)公開度




書目名稱Intelligent Computing and Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Computing and Optimization被引頻次




書目名稱Intelligent Computing and Optimization被引頻次學(xué)科排名




書目名稱Intelligent Computing and Optimization年度引用




書目名稱Intelligent Computing and Optimization年度引用學(xué)科排名




書目名稱Intelligent Computing and Optimization讀者反饋




書目名稱Intelligent Computing and Optimization讀者反饋學(xué)科排名

生氣地

Reinforced Concrete Beam Optimization via Flower Pollination Algorithm by Changing Switch Probabilitangular RC beam are optimized to give minimum cost. In the analysis, the effects of defining different values of switch probability (sp) and defining the sp value randomly on the change of the optimum result were determined. Results showed that using random sp is have near performance to best sp cases.

發(fā)酵劑

Optimum Design of Reinforced Concrete Footings Using Jaya Algorithmhm. An objective function was found by synthesizing the formulas used in the RC footing calculations. It is seen that the Jaya algorithm is successful in the RC footing design and gives consistent results.

Enliven

Cerumen

Application of?Metaheuristic Algorithms and?Their Combinations to?Travelling Salesman Problemitness value, convergence speed, and robustness of algorithms. The experimental results show that hybrid algorithms overcome the limitations of individual algorithms, namely the slow convergence and local optima. Moreover, when applied solely, hybrid algorithms achieve better fitness values than GA, ACO, and TS in most simulations.

choleretic

TOPSIS Based Optimization of Laser Surface Texturing Process Parameterstable parametric combination for improving the process efficiency. The mean weight method has been utilized for providing weightage to TOPSIS. The results shows that the TOPSIS method is relatively simpler to use to determine the suitable combination.

Constitution

Cost Prediction Model Based on Hybridization of Artificial Neural Network with Nature Inspired Simulne how quickly it find optimal weight values. The result shows that the proposed model achieves lower values of performance parameter over the existing ANN model. Thus, the proposed model is very useful in construction projects to predict cost parameter.

闡釋

Bereavement

Seeds Classification Using Deep Neural Network: A Reviewegard. Fortunately, there are good number of research already carried out using Deep Neural Network (DNN) around the globe. In this paper, we provide a review of seed classification techniques with a strong focus on DNN. The goal of this research is to create a system for categorizing seeds based on visual and morphological traits.

Ordnance

PCBA Solder Vision Inspection Using Machine Vision Algorithm and Optimization Processtured image. Image boundaries will calculate the solder area to determine if the product met the defined specification. 95% accuracy result on cross and hold-out validation using K Nearest Neighbor (KNN) supervised learning classifier algorithm. 30–40% monthly productivity improvement after implementation of the AOI machine vision system.