How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation حسب Joni Salminen (7434770)

"…Typically, studies generate four segments, although the maximum number rarely exceeds twenty, and in most cases, is less than ten. Based on these findings, we propose seven key goals and three practical implications to enhance customer segmentation research and application.…"

Natural optimization algorithms for optimal regression testing حسب Mansour, Nashat

"…The present two natural optimization algorithms, namely simulated annealing and genetic algorithms, for solving this problem. …"
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Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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A hybrid genetic algorithm for task allocation in multicomputers حسب Mansour, Nashat

"…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …"
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Simulated Annealing and Genetic Algorithms for Optimal Regression Testing حسب Mansour, Nashat

"…The experimental results, which include a comparison with previous algorithms, show that the simulated annealing and genetic algorithms find the optimal or near-optimal number of retests within a reasonable time. …"
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A genetic algorithm for corrective retesting. (c1995) حسب Fakih, Khaled A.

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Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

"…Results show that on all test cases the simulated evolution algorithm exhibits more intelligent search of the solution subspace and was able to find better solutions than simulated annealing…"
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Fixed-parameter algorithms for hitting set problems. (c2006) حسب Masri, Rola El.

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A fast exact sequential algorithm for the partial digest problem حسب Mostafa M. Abbas (17058093)

"…</p><h3>Conclusion</h3><p dir="ltr">Our algorithm is a fast tool to find the exact solution for the partial digest problem. …"

Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

"…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …"
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A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS حسب Youssef, H.

"…Results show that on all test cases, the Simulated Evolution algorithm exhibits a more intelligent search of the solution subspace and was able to find better solutions than Simulated Annealing and Esau–Williams algorithm. …"
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A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem حسب Abu Zitar, Raed

"…This paper presents efforts to solve the multi-track measurement assignment problem in drone detection and tracking. In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …"
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Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data حسب Arshad, Muhammad Arbab

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Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities حسب Zouein, P. P.

"…The paper concludes with examples illustrating the strength and limitations of the proposed algorithm in the cases of ~1! loosely versus tightly constrained layouts with equal levels of interaction between facilities; ~2! …"
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Predicting insulin dosage for diabetic patients to reach optimal glucose levels. (c2012) حسب Bitar, Mandy

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Adaptive Time-Varying Brain Source Localization حسب Al-Momani, Sajedah A.

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Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

"…Videos with single description coding (SDC), multiple description coding (MDC), and scalable video coding (SVC) are considered. …"
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The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

"…In this research, classification algorithms, combined with resampling strategies and dimensionality reduction methods, were investigated to find a prediction model to correctly identify the samples of treated animals. …"