We propose the clustering-based BAT algorithm for energy harvesting (CBA-EH) in IoT-enable wireless sensor networks to maximize the network performance. The Bat Optimization Algorithm is employed to optimize the fitness factors associated with CH selection. These factors include residual energy, intra...
metaheuristic clustering algorithmsearch‐based algorithmFuzzy clustering suffers from the fact that the number of clusters in the given dataset should be known beforehand. It is also sensitive to noise and outliers. The local search‐based algorithms have been widely used in solving several clustering...
(MSACS) based on the cuckoo search algorithm (CS). First, five different search strategies were proposed to calculate the use probability and control parameters by using adaptive strategies to ensure that the algorithm can autonomously adjust according to the change in the functions and iteration ...
algorithms, namely, particle swarm differential evolution algorithm, firefly differential evolution algorithm and invasive weed optimization differential evolution algorithm, are proposed to deal with the task of automatic data clustering. In contrast to many of the existing traditional and evolutionary computa...
Bi-sonar optimization (BSO) is a stochastic global Metaheuristic optimization tool and is a relatively new algorithm. In this paper a hybrid fuzzy clustering method FCB based on FCM and BSO is proposed which makes use of the merits of both algorithms. Experimental results show that this proposed...
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering. The process that groups similar items within a dataset into non-overlappi...
4)iterative heuristic algorithm迭代启发式算法 1.In the paper,twoiterative heuristic algorithms(IHA1,IHA2 for short) were proposed for total completion time minimization in no-wait flowshop scheduling problem(NWFSP).针对以总完工时间最小化为目标的无等待流水调度问题(缩写为NWFSP),提出了两个迭代启发式...
The biologically inspired metaheuristic algorithm obtains the optimal solution by simulating the living habits or behavior characteristics of creatures in nature. It has been widely used in many fields. A new bio-inspired algorithm, Aphids Optimization A
This article’s innovation and novelty are introducing a new metaheuristic method called mother optimization algorithm (MOA) that mimics the human interaction between a mother and her children. The real inspiration of MOA is to simulate the mother’s car
Shang, R., Zhang, W., Li, F., Jiao, L., Stolkin, R.: Multi-objective artificial immune algorithm for fuzzy clustering based on multiple kernels. Swarm Evol. Comput. 50, 100485 (2019) Google Scholar Yang, X., Zhang, G., Jie, L., Ma, J.: A kernel fuzzy c-means clustering-...