A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem by Shaikh, Palwasha

“…This paper conducts a comprehensive literature review on applications of evolutionary and swarm intelligence algorithms to TSC. Surveyed work is categorized based on the set of decision variables, optimization objective(s), problem modeling and solution encoding. …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction by Abdullah, Afsah

“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem by Haraty, Ramzi A.

“…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

“…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”

Minimum UAV fog servers with maximum IoT devices association using genetic algorithms by Abbas, Nadine

“…We then propose a heuristic sub-optimal approach based on genetic algorithm (GA) to decide on the minimum number of UAVs to be deployed and the IoT-to-UAV association. …”
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A new minimum curvator multi-step method for unconstrained optimization by Obeid, Samir

“…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …”
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Power-constrained system-on-a-chip test scheduling using a genetic algorithm by Harmanani, Haidar M.

“…This paper presents an efficient approach for the test scheduling problem of core-based systems based on a genetic algorithm. The method minimizes the overall test application time of a system-on-a-chip through efficient and compact test schedules. …”
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis by Al-Betar, Mohammed Azmi

“…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. …”
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A Simulated Annealing Algorithm for System-on-Chip Test Scheduling with, Power and Precedence Constraints by Harmanani, Haidar M.

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A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading by Saoud A. Al-Janahi (18877213)

“…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. …”

The Detection of Dysarthria Severity Levels Using AI Models: A Review by Afnan Al-Ali (16888695)

Optimization of Battery Electric Bus Charging under Varying Operating Conditions by Basma, Hussein

“…This paper proposes an optimization algorithm based on Dynamic Programming that minimizes the total BEB energy costs and battery replacement costs by optimally controlling the BEB daily charging power throughout the year, considering the varying operating conditions. …”
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Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies by Mohamed, Eman

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Methods for system-on-chip test design, scheduling and optimization. (c2006) by Farah, Rana

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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

“…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …”

Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)