A non-convex economic load dispatch problem using chameleon swarm algorithm with roulette wheel and Levy flight methods حسب Abu Zitar, Raed

"…An Enhanced Chameleon Swarm Algorithm (ECSA) by integrating roulette wheel selection and Lévy flight methods is presented to solve non-convex Economic Load Dispatch (ELD) problems. …"
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A comparative study of five regression testing algorithms حسب Mansour, N.

"…We compare five regression testing algorithms that include: slicing, incremental, firewall, genetic and simulated annealing algorithms. …"
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Empirical comparison of regression test selection algorithms حسب Mansour, Nashat

"…In this paper, we empirically compare five representative regression test selection algorithms, which include: Simulated Annealing, Reduction, Slicing, Dataflow, and Firewall algorithms. …"
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The Role of KM in Enhancing AI Algorithms and Systems حسب AlGhanem, Hani

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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

الموضوعات:

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…Third, to improve the average F-score of the classifier, we apply a meta-heuristic optimization technique using a GA for feature selection. The proposed algorithm is tested on five publically available datasets and the results are compared with various state-of-the-art methods. …"

Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

"…Another new metric is introduced, 1 ◦C Percentage Error criterion that calculates the percentage of the number of hours with an error over 1 ◦C during the cali bration period, to select the best solutions from the Pareto Front solutions. 0.5 ◦C Percentage Error criterion is also used for the level of accuracy the model can achieve. …"
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Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms حسب Md Ferdous Wahid (13485799)

"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"

Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

"…In the experimentation simulated with Stone Soup, one radar among five radars is selected at every time step of 50-time steps for 200 tracks distributed over 20 different ground truths. …"
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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…We mainly study some emergent techniques that help to bridge the gap between computational intractability and practicality. We present results that lead to better exact and approximation algorithms and better implementations. …"
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Collaborative Caching for D2D Content Sharing in 5G حسب Abdelsalam, Ansam Elfadil Kamel

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A Tabu Search algorithm for mapping data to multicomputers. (c1997) حسب Diab, Kamal M.

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Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

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Adaptive bias simulated evolution algorithm for placement حسب Youssef, H.

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A kernelization algorithm for d-Hitting Set حسب Abu-Khzam, Faisal N.

"…In this paper, a kernelization algorithm for the 3-Hitting Set problem is presented along with a general kernelization for d -Hitting Set. …"
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Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

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Scatter Search algorithm for Protein Structure Prediction حسب Mansour, Nashat

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