Suchergebnisse - evolutionary computing and genetic algorithms

An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks von Folino, Francesco, Pizzuti, Clara

“… Evolutionary clustering is a recent framework for clustering dynamic networks that introduces the concept of temporal smoothness inside the community structure detection method …”
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InterEvo-TR: Interactive Evolutionary Test Generation with Readability Assessment von Delgado-Perez, Pedro, Ramirez, Aurora, Valle-Gomez, Kevin J., Medina-Bulo, Inmaculada, Romero, Jose Raul

“… In this paper, we propose incorporating interactive readability assessments made by a tester into EvoSuite, a widely-known evolutionary test generation tool …”
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Multi-Container Migration Strategy Optimization for Industrial Robotics Workflow Based on Hybrid Tabu-Evolutionary Algorithm von Xie, Xingju, Wu, Xiaojun, Hu, Qiao, Yuan, Sheng

“… Industrial Robot Monitoring System (IRMS) is an important guarantee to maintain the normal operation of industrial robot systems. For IRMSs in the edge-cloud …”
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A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation von Ali, Shaukat, Briand, Lionel C, Hemmati, Hadi, Panesar-Walawege, Rajwinder Kaur

“… Metaheuristic search techniques have been extensively used to automate the process of generating test cases, and thus providing solutions for a more …”
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A secure and scalable blockchain-based model for electronic health record management von Pampattiwar, Kalyani, Chavan, Pallavi

“… A Modified Genetic Algorithm is employed to improve blockchain scalability. The model also introduces mechanisms for ensuring database integrity, mitigating external attacks, and enhancing usability …”
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Multi-Objective Optimization for Virtual Machine Allocation and Replica Placement in Virtualized Hadoop von Guerrero, Carlos, Lera, Isaac, Bermejo, Belen, Juiz, Carlos

“… Resource management is a key factor in the performance and efficient utilization of cloud systems, and many research works have proposed efficient policies to …”
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A Comprehensive Evaluation Framework for Benchmarking Multi-Objective Feature Selection in Omics-Based Biomarker Discovery von Cattelani, Luca, Ghosh, Arindam, Rintala, Teemu J., Fortino, Vittorio

“… Machine learning algorithms have been extensively used for accurate classification of cancer subtypes driven by gene expression-based biomarkers …”
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A Genetic Programming Approach to Record Deduplication von de Carvalho, M. G., Laender, A. H. F., Goncalves, M. A., da Silva, A. S.

“… Several systems that rely on consistent data to offer high-quality services, such as digital libraries and e-commerce brokers, may be affected by the existence …”
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Quantum Genetic Optimization von Malossini, A., Blanzieri, E., Calarco, T.

“… The complexity of the selection procedure of a genetic algorithm that requires reordering, if we restrict the class of the possible fitness functions to varying fitness functions, is , where is …”
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An Automated Framework for Incorporating News into Stock Trading Strategies von Nuij, Wijnand, Milea, Viorel, Hogenboom, Frederik, Frasincar, Flavius, Kaymak, Uzay

“… The strategies take the form of rules that combine technical trading indicators with a news variable, and are revealed through the use of genetic programming …”
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A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters von Bandyopadhyay, S., Saha, S.

“… In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set …”
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Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing von Salvador, R., Otero, A., Mora, J., de la Torre, E., Riesgo, T., Sekanina, L.

“… ). Candidate circuits are generated by an embedded evolutionary algorithm and implemented by means of dynamic partial reconfiguration, enabling evaluation in the final hardware …”
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YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features von Kleftogiannis, Dimitrios, Theofilatos, Konstantinos, Likothanassis, Spiros, Mavroudi, Seferina

“… ) with genetic algorithms (GA) for feature selection and parameters optimization. YamiPred was tested in a new and realistic human dataset and was compared with state …”
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Swarm Fuzzy Systems: Knowledge Acquisition in Fuzzy Systems and Its Applications in Grid Computing von Garcia-Galan, Sebastian, Prado, Rocio P., Munoz Exposito, Jose Enrique

“… This work proposes the use of bio-inspired knowledge acquisition for Fuzzy Systems founded on Swarm Intelligence-Particle Swarm Optimization (SI-PSO) …”
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Evolving Bipartite Authentication Graph Partitions von Pope, Aaron, Tauritz, Daniel, Kent, Alexander

“… Networks are modeled as bipartite authentication access graphs and a multi-objective evolutionary algorithm is used to simultaneously minimize the size of large connected components while minimizing …”
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A Novel Evolutionary Approach for Adaptive Random Testing von Tappenden, A.F., Miller, J.

“… This paper presents the novel application of an evolutionary search algorithm to this problem …”
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Adaptive α-stable differential evolution in numerical optimization von Choi, Tae Jong, Ahn, Chang Wook

“… Although Differential Evolution (DE) is a simple yet powerful evolutionary algorithm, it requires an adaptive parameter control to achieve its optimal performance …”
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Minimizing Fatigue Damage in Aircraft Structures von Ruotsalainen, Marja, Jylha, Juha, Visa, Ari

“… This article focuses on the optimization of aircraft usage as a new aspect of SHM and discusses a knowledge discovery approach based on dynamic time warping and genetic programming …”
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Neural-Based Learning Classifier Systems von Dam, H.H., Abbass, H.A., Lokan, C., Xin Yao

“… UCS is a supervised learning classifier system that was introduced in 2003 for classification in data mining tasks. The representation of a rule in UCS as a …”
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Position-Relative Identities in the Internet of Things: An Evolutionary GHT Approach von Attwood, Andrew, Lamb, David J., Abuelmaatti, Omar

“… The Internet of Things (IoT) will result in the deployment of many billions of wireless embedded systems creating interactive pervasive environments. It is …”
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