Results 21 to 30 of about 3,843 (214)
Application of Memetic Algorithms in Multi-Criteria Structural Optimization
Communications, 2017 The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is tested on a shell
Peter Pechac +4 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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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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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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Spacing memetic algorithms [PDF]
Proceedings of the 13th annual conference on Genetic and evolutionary computation, 2011 We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space distance information to decide what individuals are acceptable in the population, what individuals need to be replaced and when to apply mutations. By ensuring a "healthy" spacing (
Daniel Cosmin Porumbel +2 more
openaire +2 more sources
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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Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
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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A Memetic Algorithm for an External Depot Production Routing Problem
Algorithms, 2021 This study aims to compare the results of a memetic algorithm with those of the two-phase decomposition heuristic on the external depot production routing problem in a supply chain.
Bi Kouaï Bertin Kayé +3 more
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Improved Memetic Algorithm for Multi-depot Multi-objective Capacitated Arc Routing Problem [PDF]
MATEC Web of Conferences, 2020 The capacitated arc routing problem (CARP) is a challenging vehicle routing problem with numerous real-world applications. In this paper, an extended version of CARP, the multi-depot multi-objective capacitated arc routing problem (MDMOCARP) is proposed ...
Wan Jie, Chen Xinghan, Li Ruichang
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