Killer Whale Algorithm: An Algorithm Inspired by the Life of Killer Whale

Biyanto, Totok R.; Matradji,; Irawan, Sonny; Febrianto, Henokh Y.; Afdanny, Naindar; Rahman, Ahmad H.; Gunawan, Kevin Sanjoyo; Pratama, Januar Ananta Dinar; Bethiana, Titania N.

doi:10.1016/j.procs.2017.12.141

Cited by 57 publications

(18 citation statements)

References 9 publications

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“…It is characterized as two types based on the hunting patterns. First, mammal‐hunting transients; it traces and will hunt the prey migration season and second fish‐feeding residents; it will hunt in the same area 39 . The mathematical implementation model of the hunting pattern of killer whale is given below.…”

Section: Proposed Methodology For Fast Synchronization In Dgsmentioning

confidence: 99%

Fast synchronization of distributed generators with power grid under transient conditions using hybrid optimization algorithm

Christopher

Rengaswamy

2020

Optim Control Appl Methods

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The integration of nonrenewable and renewable energy resources is growing rapidly due to energy demand and smart grid technologies. In power grids, the performance of synchronization is reduced by some issues such as frequency instability, voltage distortion, and voltage unbalance. This work presents the fast synchronization of the PV grid‐connected system utilized the hybrid optimized proportional resonant (PR) controller under transient condition. The proposed system is designed and controlled by the optimized PR controller strategy on stationary reference frame control. The AC voltage is switched into the AC grid voltage, and error can occur in the difference between the phase reference and measured value. So the current controller of the PR controller is considering the effects of harmonics. The controller is properly tuned by the hybrid algorithm of killer whale optimization (KWO) and the grasshopper optimization algorithm to reduce the harmonics. The synchronization reduces the phase angle, voltage, and frequency between the generator outcomes. The performance of a PV based optimized PR controller controlled the voltage source inverter to achieve the optimal signal of fast synchronization. The effect of total harmonic distortion transient response is improved by the well‐designed PR control parameters based LC filter. The proposed system is implemented in MATLAB/Simulink platform. The robustness of the system is compared with traditional controllers of the proportional integral derivative and proportional–integral controller.

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Section: Proposed Methodology For Fast Synchronization In Dgsmentioning

confidence: 99%

Fast synchronization of distributed generators with power grid under transient conditions using hybrid optimization algorithm

Christopher

Rengaswamy

2020

Optim Control Appl Methods

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“…f biout (I) = I outL + βI outH (16) where β is the enhancement factor. After bi-histogram equalization and dual-domain image decomposition enhancement, combined with the advantages of both, the final output enhanced image can be expressed as:…”

Section: Detail Enhancement Based On Dual-domain Image Decompositionmentioning

confidence: 99%

Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

Qin

2020

Symmetry

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In this paper, an improved PSO (Particle Swarm Optimization) algorithm is proposed and applied to the infrared image enhancement. The contrast of infrared image is enhanced while the image details are preserved. A new exponential center symmetry inertia weight function is constructed and the local optimal solution jumping mechanism is introduced to make the algorithm consider both global search and local search. A new image enhancement method is proposed based on the advantages of bi-histogram equalization algorithm and dual-domain image decomposition algorithm. The fitness function is constructed by using five kinds of image quality evaluation factors, and the parameters are optimized by the proposed PSO algorithm, so that the parameters are determined to enhance the image. Experiments showed that the proposed PSO algorithm has good performance, and the proposed image enhancement method can not only improve the contrast of the image, but also preserve the details of the image, which has a good visual effect.

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“…The operating condition variables are pressure, mass flow rate and temperature of CO 2 injection. The recent stochastic algorithms have been utilized, i.e., Killer Whale Algorithm (KWA) (Biyanto et al 2017a(Biyanto et al , b, 2018a, duelist algorithm (DA) (Biyanto et al 2016a(Biyanto et al , 2017c(Biyanto et al , 2018b, particle swarm optimization (PSO) (Biyanto and Dina 2016),…”

Section: Optimization Techniquesmentioning

confidence: 99%

Optimization of operating conditions of CO2-enhanced gas recovery and carbon sequestration

Biyanto

Febriansyah

Abdillah

et al. 2019

J Petrol Explor Prod Technol

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Currently, the climate changes are the big issue due to increasing in amount of CO 2 foot print over the time. One of the most effective solutions to reduce CO 2 emissions is to inject CO 2 into the earth as known as carbon sequestration. CO 2 injection has two advantages for CO 2 gas storage and increases gas production in depleted reservoir or known as enhanced gas recovery (EGR). Although many studies of EGR model and characterization have been done and the results show that the application of EGR has potentially increased gas production and CO 2 storage; however, EGR has not been applied in the field. The obstacle remaining in application of EGR is the significant cost related to EGR technology starting from CO 2 procurement cost, transportation and operational cost. The operational costs of CO 2 injection depend on the operating conditions of CO 2 injection which is mass flow rate, pressure and temperature of CO 2 injection. In this research, CO 2 EGR and carbon sequestration processes were modeled by dividing into three parts, i.e., injection well, reservoir and production well. Pressure gradient in injection and production well was modeled using Beggs-Brill, while in reservoir by using Darcy equation. Temperature gradient for each part was modeled using mass and energy balances equations. The fluid properties were predicted using Peng-Robinson vapor-liquid equilibrium under commercial software HYSYS. Validation of injection and production well models was compared with PIPESIM, and the average mean deviations are 1.919% and 1.578%, respectively. Meanwhile, the validation of pressure and temperature gradient model compared to COMSOL Multiphysics software simulation in reservoir shows the average mean deviation of 0.2003% and 0.0002%, respectively. Based on the sensitivity analysis of the model, the profit will increase proportionally if mass flow rate and temperature increase; otherwise, it will decrease if CO 2 injection pressure increases. Before optimization, the presence of CO 2 injection in depleted gas reservoir with normal operating conditions can produce gas recovery of about 90.09% in which the profit generated is 6175.6 USD/ day. EGR optimization has been performed using several recent stochastic algorithms, and the best optimization result was obtained by using Killer Whale Algorithm, duelist algorithm and Rain Water Algorithm. The optimization results show an increase in profit from 4453.8 USD/day to 12,331.9 USD/day or about 276.9% higher than the initial condition of the injection or without optimization. By using injection parameters that have been optimized, the CO 2 that can be stored is 1486.01 tons.

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Killer Whale Algorithm: An Algorithm Inspired by the Life of Killer Whale

Cited by 57 publications

References 9 publications

Fast synchronization of distributed generators with power grid under transient conditions using hybrid optimization algorithm

Fast synchronization of distributed generators with power grid under transient conditions using hybrid optimization algorithm

Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

Optimization of operating conditions of CO2-enhanced gas recovery and carbon sequestration

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