An adaptive algorithm is the heart of the adaptive filter which finds the optimum coefficients of the filter. The choice of the adaptive algorithm improves the convergence rate and minimizes the mean square error (MSE). This paper aims to propose a cat swarm optimization (CSO)-based adaptive ...
Shuo-Tsung ChenTung Hai UniversitySpringer, ChamInternational Conference on Security with Intelligent Computing and Big-data ServicesZhao M, Pan J S, Chen S T. Compact Cat Swarm Optimization Algorithm[M]// Security with Intelligent Computing and Big-data Services. 2018....
A.K. DwivediR.N. PatelDwivedi, A. K., & Patel, R. N. "Chapter 10 - digital filter design using quantum-inspired multiobjective cat swarm optimization algorithm," Quantum Inspired Computational Intelligence, vol. 12, no.7, pp 327-359, 2017....
Keywords:coalconsumption;LeastSquaresSupportVectorMachine(LSSVM);ParticleSwarmOptimization(PSO)algorithm; catfisheffect 摘要:针对煤炭消费量的时变性、非平稳性特点,为了提高煤炭消费量预测精度,提出了一种鲶鱼粒子群算法优化最小 二乘支持向量机(LSSVM)的煤炭消费量预测模型(CEPSO-LSSVM)。将LSSVM参数编码成粒子位...
Summary: In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental ...
Summary: In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental ...
The state machine implementation preserves the initial algorithm while making it possible to integrate other programs, classes, or functions as the objective function.A controller with a while loop to check the completion status of the optimizer drives the process. Completion status is determined by ...
In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of two sub-models, i.e., tracing mode and seeking mode, which model upon the behaviors of cats. Experimental results usi...
This paper aims to prove the efficiency of an adapted computationally intelligence-based behavior of cats called the cat swarm optimization algorithm, that solves the open shop scheduling problem, classified as NP-hard which its importance appears in several industrial and manufacturing applications. The...
The third important step is feature extraction, which is done by applying the cat swarm optimization algorithm-based deep belief network (CSA-DBN). The extracted edge regions are fed as the input to this process, and the meaningful features are derived. The DBN approach works according to the...