Search Results - (((evolutionary OR evolutionary) OR (evolutionary OR evolutionary)) OR evolution) programming
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Comparative study of optimal power flow using evolutionary programming and immune evolutionary programming technique in power system / Mohd Khairil Izwan Md Daim
Published 2006“…This project presents a new technique for solving the optimal power flow problem, in a power system using an Evolutionary Programming and Immune Evolution Programming optimization technique. …”
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2
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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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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4
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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5
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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6
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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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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An adaptation of social Learning in evolutionary computation for tic-tac-toe.
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Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement: article / Mohd Reza Sulaiman
Published 2010“…This paper presents the enhancement of system loadability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP). The concept of MA1EP is developed based on the combination of Multiagent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). …”
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Application of genetic algorithm and JFugue in an evolutionary music generator
Published 2025“…This project explores the application of Genetic Algorithms (GA) with JFugue, which is a Java-based music programming library to develop an Evolutionary Music Generator. …”
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Comparison of evolutionary programming and multiagent immune evolutionary programming technique in maximum loadability improvement / Mohd Reza Sulaiman
Published 2010“…This paper presents the enhancement of system load ability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multi agent Immune Evolutionary Programming (MAIEP). The concept of MAIEP is developed based on the combination of Multi agent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). …”
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Solving unit commitment with smart grid consideration using evolutionary programming incorporating priority listing technique / Farhana Harun
Published 2013Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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Solving unit commitment problem with solar plant by using improved evolutionary programming / Mohamad Izazuddin Hassan
Published 2013“…The aim of this study is to solve the Unit Commitment Problem with Solar Plant using the Improved Evolutionary Programming technique. The objective of this study is to search for minimum operational cost while satisfying the ranging load demand, to compare the performance of Improve Evolutionary Programming with Evolutionary Programming before installing Solar Plant and after the installation. …”
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Automatic generation of mobile content in entertainment applications using evolutionary computing
Published 2010“…Evolutionary Programming is used as the main evolutionary technique in this study. …”
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A Systematic Exploration of Mutation Space in a Hybridized Interactive Evolutionary Programming for Mobile Game Programming
Published 2014“…Evolutionary programming is the core Evolutionary Algorithm (EA) used in this study where it is hybridized with Interactive Evolutionary Algorithm (IEA) to generate different rulesets that was played on a custom arcade-type mobile game. …”
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Solving unit commitment problem with wind energy using artificial immune evolutionary programming optimization technique / Mohamad Fitri Ramli
Published 2013“…The result are shown to verify the performance of Artificial Immune Evolutionary Programming technique.…”
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Solving unit commitment with wind power using artificial immune evolutionary programming optimization technique: article / Mohamad Fitri Ramli
“…MATLAB prugramming lenguage was used to execute the prngram using l0 set of generator daa with several constrain like power balancg and generation limit .The process of Artificid Immure Evolutionary Programming including of initialization, cloning cost calculation, mutation, sorting and combine and convergences test The result are shown to verify the performance of Artificial Immune Evolutionary Programming technique…”
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Benchmark Studies on Multi-Objective Evolutionary Programming (MOEP) using Mutation Based on Adaptive Mutation Operator (AMO) and Polynomial Mutation Operator (PMO)
Published 2015“…Hence, in this paper, an adaptive mutation operator based multi-objective evolutionary programming is presented. A computer program was written in MATLAB. …”
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Evolutionary programming with gaussian and cauchy mutation technique optimal reactive power dispatch in load margin enhancement / Nik Mohd Alif Nik Idris
Published 2013“…In this study, evolutionary programming is implemented in optimal reactive power dispatch in term of enhancement of load margin. …”
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Multiobjective evolutionary programming based for network reconfiguration in a distribution system / Marleyana Md. Jude
Published 2005Subjects: “…Evolutionary programming (Computer science). Genetic algorithms…”
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