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Differential Evolution Algorithm

An Improved Adaptive Niche Differential Evolution Algorithm

An Improved Adaptive Niche Differential Evolution Algorithm

... niche differential evolution algorithm is to adjust the fitness of each individual from the population by reflecting the similarities of these individuals, based on which the algorithm can ...

7

APPLICATION OF DIFFERENTIAL EVOLUTION ALGORITHM FOR OPTIMAL DESIGN OF LOAD FREQUENCY CONTROL ON WIND AND DIESEL HIBRID POWER PLANT

APPLICATION OF DIFFERENTIAL EVOLUTION ALGORITHM FOR OPTIMAL DESIGN OF LOAD FREQUENCY CONTROL ON WIND AND DIESEL HIBRID POWER PLANT

... Changes in load frequency greatly affect the power quality of renewable wind turbine energy sources with diesel. Hybrid power system is a network consisting of several renewable energy plants such as wind power, solar ...

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Perbandingan Algoritma Particle Swarm Optimization (PSO) dan Differential Evolution Algorithm (DEA) Untuk Perilaku Non Player Character Secara Berkelompok

Perbandingan Algoritma Particle Swarm Optimization (PSO) dan Differential Evolution Algorithm (DEA) Untuk Perilaku Non Player Character Secara Berkelompok

... dan differential evoluitonal algorithm (dea) untuk perilaku non player character secara berkelompok” ini disusun guna memenuhi salah satu syarat dalam menyelesaikan studi jenjang strata satu (S1) di Program ...

33

Koordinasi Optimal Capacitive Energy Storage (CES) dan Kontroler PID Menggunakan Differential Evolution Algorithm (DEA) pada Sistem Tenaga Listrik

Koordinasi Optimal Capacitive Energy Storage (CES) dan Kontroler PID Menggunakan Differential Evolution Algorithm (DEA) pada Sistem Tenaga Listrik

... Abstrak — Peningkatan suplai daya listrik diperlukan untuk memenuhi kebutuhan daya listrik. Generator cenderung beroperasi dalam beban penuh.Hal ini berpengaruh pada keamanan generator dalam operasi sistem tenaga ...

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Optimal Power Flow Solution of the Algerian Electrical Network using Differential Evolution Algorithm

Optimal Power Flow Solution of the Algerian Electrical Network using Differential Evolution Algorithm

... DE algorithm implemented in C++ Builder to minimize the total fuel cost of the thermal generating units and also maintaining an acceptable system performance in terms of limits on generator reactive power outputs, ...

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Multi-objective Optimization Based on Improved Differential Evolution Algorithm

Multi-objective Optimization Based on Improved Differential Evolution Algorithm

... fundamental differential evolution (DE), this paper puts forward several improved DE algorithms to find a balance between global and local search and get optimal solutions through rapid ...

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Limitation of Small-world Topology for Application in Non-dominated Sorting Differential Evolution

Limitation of Small-world Topology for Application in Non-dominated Sorting Differential Evolution

... optimization algorithm is proposed. The optimization algorithm based on small-world network topology may be suitable for solving a few single-objective optimization problems, but has limitation and ...

9

Alifia Puspaningrum et.al, Inter And Intra Cluster On Self-Adaptive Differential Evolution For Multi- Document Summarization 87

Alifia Puspaningrum et.al, Inter And Intra Cluster On Self-Adaptive Differential Evolution For Multi- Document Summarization 87

... Peringkasan multi-document adalah salah satu jenis peringkasan yang lebih menantang daripada peringkasan single-document karena membutuhkan ruang pencarian yang besar dan memiliki konten yang berbeda pada setiap dokumen. ...

9

Directory UMM :Journals:Journal_of_mathematics:EJQTDE:

Directory UMM :Journals:Journal_of_mathematics:EJQTDE:

... In this paper, we are focused upon the global uniqueness results for a stochastic integro-differential equation in Fr´echet spaces. The main results are proved by using the resolvent operators combined with a ...

15

Optimization of Power System Scheduling Based on Shuffled Complex Evolution Metropolis Algorithm

Optimization of Power System Scheduling Based on Shuffled Complex Evolution Metropolis Algorithm

... PSO algorithm with respect to joint power system scheduling, large population size, long calculation time, and poor global optimization ...SCEM-UA algorithm be used with strong global search capability and ...

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Prediksi Penyakit Menggunakan Algoritma Differential Evolution (DE) dan Least Square Support Vector Machine (LSSVM) Untuk Data Berdimensi Tinggi Prediction Of Disease Using Differential Evolution (DE) and Least Square Support Vector Mchine (LSSVM) For Hig

Prediksi Penyakit Menggunakan Algoritma Differential Evolution (DE) dan Least Square Support Vector Machine (LSSVM) Untuk Data Berdimensi Tinggi Prediction Of Disease Using Differential Evolution (DE) and Least Square Support Vector Mchine (LSSVM) For Hig

... LS-SVM (Least Square Support Vector Machine), yang merupakan suatu tools pengklasifikasian pada suatu sampel tertentu dari SVM (Support Vector Machine. Kekurangan dari LS-SVM adalah sensitif pada perubahan nilai ...

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OPTIMISASI PARAMETER PSS BERBASIS MULTI MESIN MENGGUNAKAN MODIFIED DIFFERENTIAL EVOLUTION (MDE) PADA SISTEM JAWA BALI

OPTIMISASI PARAMETER PSS BERBASIS MULTI MESIN MENGGUNAKAN MODIFIED DIFFERENTIAL EVOLUTION (MDE) PADA SISTEM JAWA BALI

... Modified Differential Evolution ...Modified Differential Evolution (PSS MDE) compared with Power System Stabilizer Particle Swarm Optimization (PSS PSO) in Java Bali 500 kV multi-machine ...

90

OPTIMASI PENEMPATAN DAN KAPASITAS DISTRIBUTED GENERATION MENGGUNAKAN METODE DIFFERENTIAL EVOLUTION UNTUK MEMINIMALKAN RUGI DAYA

OPTIMASI PENEMPATAN DAN KAPASITAS DISTRIBUTED GENERATION MENGGUNAKAN METODE DIFFERENTIAL EVOLUTION UNTUK MEMINIMALKAN RUGI DAYA

... In this paper present a method for determine optimal placement and sizing of distributed generation using differential evolution method. Analysis result of optimal placement and sizing DG is performed with ...

70

OPTIMASI ON-LOAD TAP-CHANGING MENGGUNAKAN QUANTUM DIFFERENTIAL EVOLUTION UNTUK MEMINIMALKAN KERUGIAN DAYA

OPTIMASI ON-LOAD TAP-CHANGING MENGGUNAKAN QUANTUM DIFFERENTIAL EVOLUTION UNTUK MEMINIMALKAN KERUGIAN DAYA

... 6. Selanjutnya prosedur ini diulang kembali ke langkah 2 sedemikian rupa sampai iterasi maksimum. Quantum Differential Evolution (QDE) merupakan pengembangan dari algoritma DE. Salah satu parameter pembeda ...

9

New Hepwm Optimization In Three Ohase Inverter.

New Hepwm Optimization In Three Ohase Inverter.

... their controlled turn-on and turn off. In this project the concept of HEPWM technique is described with performance analysis of waveform. Total Harmonic Distortion (THD) is helped to proof the calculation by showing the ...

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Koordinasi Kontroler PID dan Thyristor Controlled Phase Shifter (TCPS) pada Load Frequency Control (LFC) Menggunakan Differential Evolution (DE)

Koordinasi Kontroler PID dan Thyristor Controlled Phase Shifter (TCPS) pada Load Frequency Control (LFC) Menggunakan Differential Evolution (DE)

... Abstrak—Pada sistem tenaga listrik, perubahan beban tidak dapat diprediksi. Beban yang berubah secara tiba-tiba menyebabkan osilasi pada frekuensi generator. Pada sistem tenaga listrik multi area, generator bekerja ...

6

Vol4 Iss2 152 169 CONTROLLABILITY OF IMPULSIVE QUAS

Vol4 Iss2 152 169 CONTROLLABILITY OF IMPULSIVE QUAS

... On the other hand, the most important qualitative behaviour of a dynamical system is controllability. It is well known that the issue of controllability plays an important role in control theory and engineering [15, 16, ...

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Penerapan Algoritma Differential Evolution untuk Penyelesaian Permasalahan Vehicle Routing Problem with Delivery and Pick-up

Penerapan Algoritma Differential Evolution untuk Penyelesaian Permasalahan Vehicle Routing Problem with Delivery and Pick-up

... Algoritma Differential Evolution dapat menghasilkan solusi yang lebih optimal dibanding kedua algoritma pembanding karena terdapat proses crossover yang menghasilkan 4 anak, sehingga alternatif solusi yang ...

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Directory UMM :Journals:Journal_of_mathematics:OTHER:

Directory UMM :Journals:Journal_of_mathematics:OTHER:

... 1. David. W. Corne, Knowles, J. D. and M. J. Oates (2000), The Pareto envelope – based selection algorithm for multiobjective optimization. In M.S. et al. (Ed.), Parallel Problem Solving from Nature – PPSN VI, ...

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Enhanced Symbiotic Organisms Search (ESOS) for Global Numerical Optimization

Enhanced Symbiotic Organisms Search (ESOS) for Global Numerical Optimization

... SOS algorithm across 26 benchmark functions and one structural engineering design ...ESOS algorithm delivers competitive, superior, and effective performance for global numerical ...

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