Search Results - (( java segmentation learning algorithm ) OR ( using evolutionary further algorithm ))
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. …”
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Mobile game application development using evolutionary algorithms
Published 2014“…Evolutionary Programming (EP) is used as the main evolutionary technique in this study. …”
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A Standard Deviation Selection in Evolutionary Algorithm for Grouper Fish Feed Formulation
Published 2016“…Therefore, in this study, primary data and secondary data are collected even though there is a limitation of related papers and 30 samples are investigated by using standard deviation selection in Evolutionary algorithm. …”
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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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Application and evaluation of the evolutionary algorithms combined with conventional neural network to determine the building energy consumption of the residential sector
Published 2025“…Further research may explore hybrid approaches or parameter tuning to enhance the performance of evolutionary algorithms in this domain. …”
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Hybrid evolutionary optimization algorithms: A case study in manufacturing industry
Published 2014“…This membership function is applied for its useful performance through industrial production problems by employing hybrid evolutionary optimization algorithms. …”
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A Hybrid Multi-objective Integrated JAYA-Evolutionary Programming (MOIJEP) Algorithm for Under Voltage Load Shedding (UVLS) Scheme in Bulk Power System
Published 2025“…MOIJEP integrates the features in the original Jaya algorithm into the conventional Evolutionary Programming (EP). …”
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Hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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A standard deviation selection in evolutionary algorithm for grouper fish feed formulation
Published 2016“…These fitness can be further predicted to minimize cost in farming grouper fish.…”
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A hybrid intelligent active force controller for robot arms using evolutionary neural networks
Published 2000“…The EC part of the algorithm composes of a hybrid genetic algorithm (GA) and an evolutionary program (EP). …”
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INTELLIGENT MODELLING OF GRADIENT FLEXIBLE PLATE STRUCTURE UTILISING HYBRID EVOLUTIONARY ALGORITHM
Published 2023“…The research utilised parametric system identification based on autoregressive with exogenous input (ARX) model structure. First, evolutionary algorithms, namely particle swarm optimisation (PSO) and grey wolf optimisation (GWO) were used in developing GFPS dynamic model and their performances were compared. …”
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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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Research Report -
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Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects
Published 2015“…The proposed approach focuses on understanding human emotions in order to identify user preferences of the 3D shapes automatically and further evolve the selected artform. The use of a natureinspired shape generation formula, called the Gielis supershape, is used as the encoding for generation of 3D art and is shown to be able to bring forth large varieties of shapes during the automatic evolutionary optimization process.…”
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Performance evaluation metrics for multi-objective evolutionary algorithms in search-based software engineering: systematic literature review
Published 2021“…Many recent studies have shown that various multi-objective evolutionary algorithms have been widely applied in the field of search-based software engineering (SBSE) for optimal solutions. …”
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Optimization of Reservoir Operation using New Hybrid Algorithm
Published 2018“…In addition, HA is ranked first according to the multi criteria decision making model. Further, among all the tested evolutionary methods, this new algorithm yielded the best answer for dam power plant’s objective function.…”
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Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
Published 2018“…DE is very sensitive to its parameter settings and mutation strategy; thus, this study aims to investigate these settings with the diverse versions of adaptive DE algorithms. This study has two main objectives: (1) to present an extension for the original taxonomy of evolutionary algorithms (EAs) parameter settings that has been overlooked by prior research and therefore minimize any confusion that might arise from the former taxonomy and (2) to investigate the various algorithmic design schemes that have been used in the different variants of adaptive DE and convey them in a new classification style. …”
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Chaotic mutation immune evolutionary programming for photovoltaic planning in power system / Sharifah Azma Syed Mustaffa
Published 2020“…Finally, the proposed CMIEP was used as the algorithm for DGPV location and sizing with the existence of line outage contingency and generator outage contingency. …”
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Development of a Bioinspired optimization algorithm for the automatic generation of multiple distinct behaviors in simulated mobile robots
Published 2006“…As a result, this study has thus shown that the multi-objective approach to evolutionary robotics in the form of the elitist PDE-EMO algorithm can be practically used to automatically generate controllers for RF-Iocalization behavior in autonomous mobile robots.…”
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