Sequence motif finder using memetic algorithm [PDF]
BMC Bioinformatics, 2018 Background De novo prediction of Transcription Factor Binding Sites (TFBS) using computational methods is a difficult task and it is an important problem in Bioinformatics.
Jader M. Caldonazzo Garbelini +2 more
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Comparison of Predictive Models for the Early Diagnosis of Diabetes [PDF]
Healthcare Informatics Research, 2016 ObjectivesThis study develops neural network models to improve the prediction of diabetes using clinical and lifestyle characteristics. Prediction models were developed using a combination of approaches and concepts.MethodsWe used memetic algorithms to ...
Meysam Jahani, Mahdi Mahdavi
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A fuzzy system based self-adaptive memetic algorithm using population diversity control for evolutionary multi-objective optimization [PDF]
Scientific ReportsSimulated by nature’s evolution, numerous evolutionary algorithms had been proposed. These algorithms perform better for a particular problem domain and extensive parameter fine tuning and adaptations are required in optimizing problems of varied domain.
Brindha Subburaj, S. Miruna Joe Amali
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Hybrid Memetic Algorithm for the Node Location Problem in Local Positioning Systems [PDF]
Sensors, 2020 Local Positioning Systems (LPS) have shown excellent performance for applications that demand high accuracy. They rely on ad-hoc node deployments which fit the environment characteristics in order to reduce the system uncertainties.
Javier Díez-González +4 more
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A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling [PDF]
The Scientific World Journal, 2013 The permutation flow shop scheduling problem (PFSSP) is part of production scheduling, which belongs to the hardest combinatorial optimization problem.
Ruochen Liu +3 more
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A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks [PDF]
Scientific ReportsArtificial Neural Networks (ANNs) have been used in a multitude of real-world applications given their predictive capabilities, and algorithms based on gradient descent, such as Backpropagation (BP) and variants, are usually considered for their ...
Francisco Bérchez-Moreno +4 more
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Multi-agent memetic algorithm and its application to community structure detection in complex networks [PDF]
Computer and Knowledge Engineering, 2022 A complex system is a system that has many components that are interdependent and appear as a whole and exhibit organized behavior. Community structure detection is an optimization problem in complex networks that involves searching for communities ...
Somayeh Ranjkesh +2 more
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Measurement: Sensors, 2023 The security of the Internet of Things (IoT) is becoming more important as it is used more frequently and widely in our daily lives. Better security analysis tools are necessary for IoT applications in order to assure information security.
R. Shobana, Maria Prisicilla G
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Scheduling of multi load AGVs in FMS by modified memetic particle swarm optimization algorithm [PDF]
Journal of Project Management, 2018 Use of Automated guided vehicles (AGVs) is highly significant in Flexible Manufacturing Sys-tem (FMS) in which material handling in form of jobs is performed from one work center to an-other work center.
V.K. Chawla +2 more
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Quantum-Inspired Distributed Memetic Algorithm
Complex System Modeling and Simulation, 2022 This paper proposed a novel distributed memetic evolutionary model, where four modules distributed exploration, intensified exploitation, knowledge transfer, and evolutionary restart are coevolved to maximize their strengths and achieve superior global ...
Guanghui Zhang +4 more
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