Comparison between particle swarm optimization and Cuckoo Search method for optimization in unbalanced active distribution system

Wang, Tianjian; Meskin, Matin; Grinberg, Ilya

doi:10.1109/sege.2017.8052769

Cited by 12 publications

(6 citation statements)

References 9 publications

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“…This procedure generates a set of random values (with a normal distribution) interacting with each other, which are related to the measured distance between each element of the solution and the elements of the best nest identified, and are added to the current values of each nest. As a result, a set of newly available nests is obtained whose location within the search space has been found based on random values and influenced to some extent by the best nest of the previous generation [21][22][23][24][25][26][27][28][29][30].…”

Section: Cuckoo Searchmentioning

confidence: 99%

Performance analysis of optimized controllers with bio-inspired algorithms

et al. 2020

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This article proposes tuning of PID controllers through optimization techniques known as collective intelligence algorithms: the colony of ants and cuckoo search, applied to the temperature control of a PCT-2 plant. The dynamic behavior analysis of the controllers tuned by the application of collective intelligence algorithms were performed in comparison to a controller tuned by the genetic algorithm method and a controller designed with the PID tuner tool, obtaining favorable results in the tuning of the algorithms cuckoo search and ants colony in comparison to the PID tuner method and with a faster execution speed than the genetic algorithms method.

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Section: Cuckoo Searchmentioning

confidence: 99%

Performance analysis of optimized controllers with bio-inspired algorithms

et al. 2020

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“…The Lévy flights method is used to improve the algorithm instead of simple isotropic random walks [28]. CS has been proven highly efficient in OPF areas [29]. In order to avoid the local optimisation trap and to acquire global or sub-global optimisation results, there has been a desire for improvement of this biological evolution algorithm.…”

Section: Cuckoo Search Optimisation Algorithmmentioning

confidence: 99%

Optimal inverter based distributed generation units control strategy to improve voltage profiles in unbalanced distribution networks

Wang¹,

Meskin

et al. 2019

IET Generation, Transmission & Distribution

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“…Thus, CSO algorithm has been recognized to handle the complex optimization problems, effectively. The main advantage of this search algorithm is its simplicity, rapid convergence and efficiency in solving highly non-linear optimization problems with real-world engineering applications [24,25] and better performance than many other agent or population based meta heuristic algorithms like, genetic algorithm, particle swarm optimization etc. [26].…”

Section: Optimization By Cuckoo Search Optimization (Cso) Algorithmmentioning

confidence: 99%

Analysis of Impact Behaviour of TIG Weldment by Using Hybrid RSM and CSO

Chandra

Rudrapati

Kumar

et al. 2019

Strojnícky Časopis - Journal of Mechanical Engineering

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Tungsten inert gas (TIG) welding is a multi-input and multi-output variant process. The input process parameters and other factors of welding process interact in a complicated manner and influence the weld quality – directly or indirectly. Keeping this in mind, the present work has been planned to study the impact behaviour of TIG weldment through experiments, analysis and optimization. Experimental runs have been considered as per Box-Behnken design of response surface methodology (RSM). Based on the recorded data, the mathematical models have been developed to study the effect of process parameters on impact strength. ANOVA has been utilized to identify the influence of input process parameters on the response i.e. impact strength. RSM and cuckoo search optimization (CSO) algorithm have also been applied to optimize the impact strength.

show abstract

Comparison between particle swarm optimization and Cuckoo Search method for optimization in unbalanced active distribution system

Cited by 12 publications

References 9 publications

Performance analysis of optimized controllers with bio-inspired algorithms

Performance analysis of optimized controllers with bio-inspired algorithms

Optimal inverter based distributed generation units control strategy to improve voltage profiles in unbalanced distribution networks

Analysis of Impact Behaviour of TIG Weldment by Using Hybrid RSM and CSO

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