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), ...
Water cycle algorithm Global optimization Required metadata Current code version C1 Current code version v1.0 C2 Permanent link to code/repository used of this code version https://github.com/ElsevierSoftwareX/SOFTX-D-15-00035 C3 Legal Code License MATLAB Site-License (Korea University, License Numb...
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 sand...
Solving the proposed multi-objective problem by using WCA is described in Section ‘Water cycle algorithm’. Simulation results are given in Section ‘Simulation results’ following with Section ‘Conclusions’ in which the conclusion is given.
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...
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...
2.2.3. Simulated annealing particle swarm optimization algorithm The PSO arithmetic can effectively optimize various functions, but they are prone to be trapped into local minima in solving discrete functions and multi-objective optimization. The SA algorithm is capable of jumping out of the initial ...
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 ...