Search Results - adaptive (operation OR generations) differences (evolutionary OR solution) algorithm*

Adaptive Embedded Clonal Evolutionary Programming (AECEP) for optimal Distributed Generation (DG) location and sizing in a distribution system by Nur Zahirah, Mohd Ali

“…The purpose of this thesis is to presents a new technique namely Adaptive Embedded Clonal Evolutionary Programming (AECEP). …”
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Benchmark studies on Optimal Reactive Power Dispatch (ORPD) Based Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polyn... by Mahaletchumi, Morgan, Nor Rul Hasma, Abdullah, M. H., Sulaiman, Mahfuzah, Mustafa, Rosdiyana, Samad

“…These parameters tend to change the characteristic of adaptive in different stages of evolutionary process. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…Moreover, this work is extended to integrate the SPX crossover operator with the adaptive ARDE algorithm in a new way of implementation in order to make the adaptive ARDE algorithm satisfy both the global and local search requirements. …”
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem by Anniza, Hamdan, San Nah, Sze, Say Leng, Goh, Kang Leng, Chiew, Wei King, Tiong

“…Hybridization in evolutionary algorithm mechanisms such as initialization methods, local searches, specific design operators, and self-adaptive parameters enhance the algorithm’s performance. …”
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A comparative study of evolutionary algorithms and adapting control parameters for estimating the parameters of a single-diode photovoltaic module's model by Muhsen D.H., Ghazali A.B., Khatib T., Abed I.A.

Enhancing solid oxide fuel cell efficiency through advanced model identification using differential evolutionary mutation fennec fox algorithm by Singla, Manish Kumar, Gupta, Jyoti, Kumar, Ramesh, Jangir, Pradeep, Louzazni, Mohamed, Giri, Nimay Chandra, Al Gburi, Ahmed Jamal Abdullah, EI‑Kenawy, E. I.‑Sayed M., Alharbi, Amal H.

“…An ideal model should be adaptable to varying operating pressures and temperatures. …”
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Parameter extraction of photovoltaic module using hybrid evolutionary algorithm by Muhsen D.H., Ghazali A.B., Khatib T.

An adaptive architecture for strategic Enhancement of energy yield in shading sensitive Building-Applied Photovoltaic systems under Real-Time environments by Ranjan Satpathy P., Ramachandaramurthy V.K., Roslan M.F., Motahhir S.

Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications by Mohd Ijam, Hazizah

“…The ρ DIBBDF algorithms are written in C programming language. All the ap- proximate solutions of the standard problems and application systems of stiff ODEs generated by ρ DIBBDF agrees well with the exact solutions and approximate solutions computed by Matlab stiff solvers. …”
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Cloudlet deployment and task offloading in mobile edge computing using variable-length whale and differential evolution optimization and analytical hierarchical process for decisio... by Daba, Layth Muwafaq Abdulhussein

“…It provides an application-oriented solutions repair operator for repairing non-valid solutions and assuring that all solutions are generated in the feasible region. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat by Sakamat, Norzehan

“…K-Means algorithm a popular efficient clustering techniques and genetic algorithm a widely used evolutionary algorithm and known for its adaptive nature were combined to determine the level of handwriting legibility for each child. …”
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Broadening selection competitive constraint handling algorithm for faster convergence by Shaikh, T.A., Hussain, S.S., Tanweer, M.R., Hashmani, M.A.

“…Incorporating said strategy, the BSCCH algorithm has been proposed which is generic in nature and can be coupled with various evolutionary algorithms. …”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa by Md Isa, Amalina Izzati

“…Inclusive with the design of UFLS is a new module referred as Load Shedding Module (LSM). Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
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A hybrid addition chain method for faster scalar multiplication by Mohamad Afendee, Mohamed, Mohamad Rushdan, Md Said

“…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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Accuracy enhancement for zone mapping of a solar radiation forecasting based multi-objective model for better management of the generation of renewable energy by Ehteram M., Ahmed A.N., Fai C.M., Afan H.A., El-Shafie A.

Web based personalized university timetable for UiTM students using genetic algorithm / Mohd Radhi Fauzan Jamli and Ahmad Firdaus Ahmad Fadzil by Jamli, Mohd Radhi Fauzan, Ahmad Fadzil, Ahmad Firdaus

“…Traditional methods of timetable generation lack the adaptability needed to tackle these complexities, necessitating the development of an innovative solution. …”
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Adaptive DNA computing algorithm by using PCR and restriction enzyme by Watanabe, Shinpei, Tsuboi, Yusei, Ibrahim, Zuwairie, Yamamoto, Tsuneto, Ono, Osamu

“…In this paper, we introduce a new adaptive DNA coinpitting algorithm by using Poiymcruse Chain Rearlion (PCR). …”
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The development of RNA logic gates library for the construction of molecular information processing circuits / Lee Yiling by Lee , Yiling

“…The current solution to design such system requires a stringent and highly customized algorithm. …”
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A hybrid addition chain method for faster scalar multiplication by Mohamed, Mohamad Afendee, Md. Said, Mohamad Rushdan

“…Totally different from others, this new method uses rule representation for prime factors of n, and a new algorithm to generate a complete chain for n. …”
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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato... by Alsa’Di, Kawthar, Nik Long, Nik Mohd Asri

“…This technique uses the Adaptive Moment Estimation Method (Adam) as an optimization algorithm with feed-forward deep learning to minimize the error function and training the model using five layers with different activation functions. …”
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