Search Results - ((solutionary OR revolution) OR (evolution OR solution)) programming
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1
Voltage stability margin identification using evolution programming learning algorithm / Zamzuhairi Darus
Published 2003“…This project proposed on an investigation on the voltage stability margin identification using evolution programming learning algorithm. A multilayer feed-forward artificial neural network (ANN) with evolution programming learning algorithm for calculation of voltage stability margins (VSM). …”
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Thesis -
2
Economic power dispatch solution with non-smooth cost functions using differential evolution: article / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. …”
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Article -
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Economic power dispatch solution with non-smooth cost functions using differential evolution / Muhammad Firdaus Abd Rahim
Published 2011“…This thesis proposes a solution for Economic Dispatch problems with non-smooth cost functions using Differential Evolution (DE) algorithm. …”
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4
Traversing the complexity of digital construction and beyond through soft skills: experiences of Malaysian architects
Published 2024“…Purpose: The evolution of digital construction within Industrial Revolution 5.0 emphasises the harmonious integration of humans and technology, value-driven technology implementation, adaptive leadership and user-centric design solutions. …”
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Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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Strenthening of UMP core values in engineer huffaz programs and the challenges of the 4th industrial revolution: an analysis in the University Malaysia Pahang
Published 2018“…This study examines the engineer huffaz programs and the challenges in facing the current 4th industrial revolution (IR 4.0). …”
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Nuclear issues in the Iran - United States relations: from friends to foes
Published 2020“…Before the 1979 Iranian Islamic Revolution, the US helped Iran in developing its nuclear program, but after the revolution, the US was the main opponent of the nuclear program. …”
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Nuclear issues in the Iran - United States relations: from friends to foes
Published 2020“…Before the 1979 Iranian Islamic Revolution, the US helped Iran in developing its nuclear program, but after the revolution, the US was the main opponent of the nuclear program. …”
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10
Minimization of power loss by evolutionary programming using Thyristor Controlled Series Compensators (TCSC) / Fazleza Abdul Latiff
Published 2007“…The evolution of solution is carried out through mutation and competitive selection. …”
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Thesis -
11
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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12
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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13
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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14
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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15
Evolution Performance of Symbolic Radial Basis Function Neural Network by Using Evolutionary Algorithms
Published 2023“…The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms, including Genetic Algorithm (GA), Evolution Strategy Algorithm (ES), Differential Evolution Algorithm (DE), and Evolutionary Programming Algorithm (EP). …”
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16
Understanding waste management towards industry 4.0 / Nur Qistina Ahmad Faisal and Lizawati Abdullah
Published 2021“…It is expected that the results can help the government, municipal council, and households to have an advance solution to improve the recycling program which will lead to efficient solid waste management towards industry 4.0.…”
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Conference or Workshop Item -
17
Promotion Event Application Revolution ( P.E.A.R )
Published 2019“…The development of the system uses the standard cycle of life for development. There are two solutions to the program itself, one being the website, and one being the Android software. …”
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Final Year Project -
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Industrial Revolution 4.0 (IR4.0) Enrichment Program at SMK Gudang Rasau (SEGRA)
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UMPSA News -
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…Music that has been generated using JFugue involves real-time generation and user-driven evolution. This will involve the explanation of the use of evolution algorithms combined with the music programming to be able to create creative digital music.…”
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Final Year Project / Dissertation / Thesis -
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Modification of species-based differential evolution for multimodal optimization
Published 2015“…Optimization problem is the problem of maximizing or minimizing a function of one variable or many variables, which include unimodal and multimodal functions. Differential Evolution (DE), is a random search technique using vectors as an alternative solution in the search for the optimum. …”
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