Suchergebnisse - "evolutionary computing and genetic algorithms"

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

“… The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Evolutionary clustering is a recent …”
Volltext

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 …”
Volltext

A secure and scalable blockchain-based model for electronic health record management von Pampattiwar, Kalyani, Chavan, Pallavi

“… In the contemporary digital era, the storage of Electronic Health Records on open platforms presents significant security and privacy challenges. Addressing …”
Volltext

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

“… Automated test case generation has proven to be useful to reduce the usually high expenses of software testing. However, several studies have also noted the …”
Volltext

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 …”
Volltext

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 …”
Volltext

An Automated Framework for Incorporating News into Stock Trading Strategies von Nuij, Wijnand, Milea, Viorel, Hogenboom, Frederik, Frasincar, Flavius, Kaymak, Uzay

“… In this paper we present a framework for automatic exploitation of news in stock trading strategies. Events are extracted from news messages presented in free …”
Volltext

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 …”
Volltext

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. However, …”
Volltext

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 …”
Volltext

Self-Reconfigurable Evolvable Hardware System for Adaptive Image Processing von Salvador, R., Otero, A., Mora, J., de la Torre, E., Riesgo, T., Sekanina, L.

“… This paper presents an evolvable hardware system, fully contained in an FPGA, which is capable of autonomously generating digital processing circuits, …”
Volltext

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 …”
Volltext

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) …”
Volltext

Evolving Bipartite Authentication Graph Partitions von Pope, Aaron, Tauritz, Daniel, Kent, Alexander

“… As large scale enterprise computer networks become more ubiquitous, finding the appropriate balance between user convenience and user access control is an …”
Volltext

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 …”
Volltext

Minimizing Fatigue Damage in Aircraft Structures von Ruotsalainen, Marja, Jylha, Juha, Visa, Ari

“… Aircraft structural health monitoring (SHM) refers to a process in which sensors assess the current (and predict the future) state of a structure in terms of …”
Volltext

YamiPred: A Novel Evolutionary Method for Predicting Pre-miRNAs and Selecting Relevant Features von Kleftogiannis, Dimitrios, Theofilatos, Konstantinos, Likothanassis, Spiros, Mavroudi, Seferina

“… MicroRNAs (miRNAs) are small non-coding RNAs, which play a significant role in gene regulation. Predicting miRNA genes is a challenging bioinformatics problem …”
Volltext

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 …”
Volltext

A Novel Evolutionary Approach for Adaptive Random Testing von Tappenden, A.F., Miller, J.

“… Random testing is a low cost strategy that can be applied to a wide range of testing problems. While the cost and straightforward application of random testing …”
Volltext

Adaptive Human Action Recognition With an Evolving Bag of Key Poses von Chaaraoui, Alexandros Andre, Florez-Revuelta, Francisco

“… Vision-based human action recognition allows to detect and understand meaningful human motion. This makes it possible to perform advanced human-computer …”
Volltext