A Review for the Genetic Algorithm and the Red Deer Algorithm Applications by Abu Zitar, Raed

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A Review of the Genetic Algorithm and JAYA Algorithm Applications by Abu Zitar, Raed

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A genetic algorithm for corrective retesting. (c1995) by Fakih, Khaled A.

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Genetic and heuristic algorithms for regrouping service sites. (c2000) by Tabbara, Hiba

Subjects: “…Genetic algorithms -- Data processing…”
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An image processing and genetic algorithm-based approach for the detection of melanoma in patients by Tokajian, Sima

“…The second phase classifies lesions using a Genetic Algorithm. Our technique shows a significant improvement over other well-known algorithms and proves to be more stable on both training and testing data.…”
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Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) by Kawash, Jalal Y.

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Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network by Mohammad Reza Chalak Qazani (13893261)

“…Additionally, the multi-objective genetic algorithm (MOGA) was utilised to extract the most optimal parameters for the injection moulding process, aiming to minimise shear and residual stress and thereby increase the resistance of the final product. …”

Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Mujahid, S.N.

“…A genetic algorithm is developed to obtain optimal process targets. …”
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Process Targeting Of Multi-Characteristic Product Using Fuzzy Logic And Genetic Algorithm With An Interval Based Taguchi Cost Function by Duffuaa, S. O.

“…A genetic algorithm is developed to obtain optimal process targets. …”
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Parallel processing by Mansour, Nashat

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Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach by Arshad Ali Khan (23152516)

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A New Parallel Genetic Algorithm Model by Al-Somani, Turki F.

“…This paper presents an implementation of three Genetic Algorithm models for solving a reliability optimization problem for a redundancy system with several failure modes, a modification on a parallel a genetic algorithm model and a new parallel genetic algorithm model. …”
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Scatter search algorithm for the cross-dock door assignment problem by Tarhini, Abbas

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Genetic algorithms applications in load frequency control by Abdel-Magid, Y.L.

“…A digital simulation is used in conjunction with the genetic algorithm optimization process. …”
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Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

“…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …”
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An Uncertainty Based Genetic Algorithm Approach for Project Resource Scheduling by ALKETBI, SAIF

“…The work presented in thesis add to the existing literature in a proposing the use of a genetic algorithm uncertain approach to resource- scheduling in projects. …”
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Control of nonlinear dynamical systems using genetic algorithms by Al-Duwaish, H.N.

“…This paper introduces a new method for the control of nonlinear systems using genetic algorithms. …”
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A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

“…Then, feature mapping is performed by assigning the concepts’ similarities to the concept features. Second, a hybrid genetic-whale optimization algorithm was proposed to optimize ontology learning from Arabic text. …”
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A flexible genetic algorithm-fuzzy regression approach for forecasting: The case of bitumen consumption by Azadeh, Ali

“…This study aims to introduce a flexible genetic algorithm-fuzzy regression approach for forecasting the future bitumen consumption. …”
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A Deep Learning based Process Model for Crack Detection in Pavement Structures by Rababaah, Aaron

“…Pavement cracks have been studied for decades using traditional Machine Learning (ML) methods such as neural networks, genetic algorithms, fuzzy logic, etc. In this work, we present a DL model based on CNN to study the effectiveness of modern machine vision methods on an old problem of pavement crack detection. …”
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