Search Results - (( variable interaction patterns algorithm ) OR ( parallel optimization bees algorithm ))
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Performance Comparison of Parallel Bees Algorithm on Rosenbrock Function
Published 2012“…This thesis presents the parallel Bees Algorithm as a new approach for optimizing the last results for the Bees Algorithm. …”
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Thesis -
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Energy-aware scheduling optimization in hybrid flow shops using artificial bee colony algorithm
Published 2024“…Through an extensive computational experiment involving a well-known benchmark suite, the ABC algorithm demonstrated remarkable performance, consistently outperforming several popular metaheuristic algorithms, including Genetic Algorithms, Particle Swarm Optimization, Memetic Algorithms, and Whale Optimization Algorithm in 75% of the problems. …”
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Genetic ensemble biased ARTMAP method of ECG-Based emotion classification
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Agent-Based Model of Virtual Community Cohesion (S/O: 13443)
Published 2021“…Also, it is shown that agents' behaviour based on individual attributes can reduce the variability of cohesion levels. This result can be explained by the fact that virtual community cohesion is based on the perceived experiences, trust, participation and interactions by all community members. …”
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Monograph -
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Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration
Published 2014“…This article uses methodology based on chi-squared automatic interaction detection (CHAID), as a multivariate method that has an automatic classification capacity to analyse large numbers of landslide conditioning factors. …”
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All-in-1 adverse drug reaction reporting system / Long Chiau Ming … [et al.]
Published 2014“…In a later stage of this project, we could quantify the risk factors for ADR and drug interaction and develop a predictive model which links drug interaction with ADR.…”
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Book Section -
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Liver segmentation on CT images using random walkers and fuzzy c-means for treatment planning and monitoring of tumors in liver cancer patients
Published 2017“…Although many methods have been proposed, this segmentation remains a challenging task due to the lack of visible edges on most boundaries of the liver coupled with high variability of both intensity patterns and anatomical appearances in pathological livers. …”
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10
Development of a simulation-based decision support model for high precision component manufacturer
Published 2013“…Moreover, the use of simulation enables the study and investigation of the interactive effect of individual components or variables. …”
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