Water cycle algorithmMulti-threshold image segmentationOptimizationLupus nephritisLupus nephritis (LN) is one of the most common and serious clinical manifestations of systemic lupus erythematosus (SLE), which causes serious damage to the kidneys of patients. To effectively assist the pathological diagnosis...
To overcome these difficulties, we have applied several well-known popular metaheuristic algorithms (Water Cycle Algorithm (WCA), Artificial Electric Field Algorithm (AEFA), Teaching Learning Based Optimization Algorithm (TLBOA), Grey Wolf Optimizer Algorithm (GWOA), Sparrow Search Algorithm (SSA), ...
the importance of optimization techniques particularly metaheuristics is understood. Water cycle algorithm (WCA), as a recently developed optimizer, is inspired from water cycle process. The optimum dimensions and the minimum weight have been calculated in order to design ultra-light weight san...
摘要: In this paper, the water cycle algorithm (WCA), a recently developed metaheuristic method is proposed for solving multi-objective optimization problems (MOPs). The fundamental concept of the WCA is...关键词: Multi-objective optimization Water cycle algorithm Pareto-optimal solutions Benchmark ...
Eskandar H, Sadollah A, Bahreininejad A, Hamdi M (2012) Water cycle algorithm a novel metaheuristic optimization method for solving constrained engineering optimization problems. Comput Struct 110:151–166. https://doi.org/10.1016/j.compstruc.2012.07.010 Article Google Scholar Bedekar PP, Bhid...
2.2.1. Multiobjective Water Cycle Algorithm According to the established regression equations, the optimal procedure was performed by MWCA algorithm. The MWCA has been extensively exploited [43–46], but it has not been applied for optimization of the cutting parameters of milled mold core compone...
and improve the algorithm as an accelerated genetic algorithm encoded with real numbers, so as to speed up the convergence speed, improve the accuracy and robustness of the model, and finally find the best projection value of the sample, rank the quality of corporate water disclosure, and solve...
In this paper, the weights and deviation random numbers between (0, 1) are randomly generated, and then, the hybrid optimization algorithm based on the Nelder–Mead simplex method and the cuckoo search algorithm is used to obtain the final initialization weights and deviation values. An improved...
Prediction of landslide displacement with step-like behavior based on multialgorithm optimization and a support vector regression model. Landslides, 15(3), 475-488 [17] Miao, F., Wu, Y., Li, L., Tang. H., Li, Y., 2018b. Centrifuge Model Test on the Retrogressive Landslide Subjected ...
select article Efficient urban flood control and drainage management framework based on digital twin technology and optimization scheduling algorithm Research articleAbstract only Efficient urban flood control and drainage management framework based on digital twin technology and optimization scheduling algorithm ...