A modified camel travelling behaviour algorithm for engineering applications

Ali, Ramzy S.; Alnahwi, Falih M.; Abdullah, Abdulkareem S.

doi:10.1080/1448837x.2019.1640010

Cited by 16 publications

(24 citation statements)

References 23 publications

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“…The camel search behavior is a new optimization method that mimics the behavior of travelling camels over desert for foraging site process [31]. The camels can adapt themselves to resist for long time with shortage of water and food and able to withstand extreme circumstances and fallow their nature behavior in finding food.…”

Section: Camel Search Behavior Algorithmmentioning

confidence: 99%

“…The food position may not be visible to all camels due to dunes in the desert, in such a case wake away from sight continue in random movement to lock for another food position. Through the searching process, another best food site can be found by another camel [31]. The modification of camel's rout continues until reaching the best position.…”

Section: Camel Search Behavior Algorithmmentioning

confidence: 99%

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Parameters estimation of solar photovoltaic module using camel behavior search algorithm

Hassan

Rashid

Jasim

2021

IJECE

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Finding accurate mathematical model of electrical equivalent circuit of solar photovoltaic (PV) cell is crucial to achieve and improve maximum power point, simulation design and efficiency computations for solar energy system. Due to the nonlinearity of the characteristic of solar PV cell, optimization methods are the best for estimating the electrical model parameters which lead to accurate estimating I-V curve. In this paper, camel behavior search algorithm is proposed as a new method for estimating the five different parameters for single diode model of PV solar module. This is tested on multicrystalline KC 200GT PV module. A measurement data of the module is used to verify and test the consistency of accurately estimating the set of parameters that govern the characteristics I-V relationship of solar cell. The simulation results show that the current-voltage characteristic and power-voltage curve obtained are matching to the measured experimental data set. For performance evaluation, the proposed method is simple, fast in convergence response and has an acceptable accuracy in obtaining the five estimated parameters.

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Section: Camel Search Behavior Algorithmmentioning

confidence: 99%

Section: Camel Search Behavior Algorithmmentioning

confidence: 99%

Parameters estimation of solar photovoltaic module using camel behavior search algorithm

Hassan

Rashid

Jasim

2021

IJECE

View full text Add to dashboard Cite

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“…During travelling procedure to get water, the group's leader supplies associates in the flock to various positions in everywhere to search for water. The camel has a decent sense of path direction so that it can return after a long searching trip [13]. The MCA can discover result solution of space at once in various directions.…”

Section: Implementation Of Modified Camel Algorithmmentioning

confidence: 99%

“…The case study to approve the suggested algorithm was applied for FJSP flexible job of the shop scheduling problem. A modified camel algorithm was proposed in [13] which have a good speed of execution, minor size of memory contrast with previous camel algorithm CA. There are two portions for any proposed metaheuristic procedures which include: the best solutions choice and the random operators.…”

Section: Introductionmentioning

confidence: 99%

“…In the design of speed control for dc motor, a minor value of s will lead to additional optimal responses. In our article, using s was fixed to 0.5 for optimal gains of PID control design [13]. In this article, we will utilize the GA algorithm as a traditional tool for tuning the gains of the PID speed controller and compared it with the MCA approach as a proposed method.…”

mentioning

confidence: 99%

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Optimum speed controller structure utilizing the MCA approach

2021

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In this paper, an optimal speed controller for dc motor is considered using a PID controller and tuned its parameters of gain to offer an optimal solution by using a modified camel algorithm MCA approach. The proposed MCA scheme was applied to solve the difficulty of getting the optimum gains of PID parameters. The MCA has good evolutionary speed with the simple construction of optimization depend on camel searching performance. The characteristics of the MCA algorithm were confirmed by optimizing the gains parameters of proportional, integral, derivative PID controller. The performance of PID-MCA is comparing with a classic PID controller enhanced with GA genetic algorithm optimization method to tune the gain parameters of the speed controller system. It was shown that the utilize of optimization processes indicated better performance for the MCA procedure in term of speed of execution and the size of memory compared with the GA method by applying computer simulations analysis. The proposed scheme has an efficient feature that includes the ease of implementation, good efficiency of computational performances with stable convergence characteristics. The results indicated that the proposed MCA scheme is a useful tool for search ability, produced efficient outcomes compared with the GA optimized method when applied in the proposed system.

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