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301
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
Published 2020“…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …”
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302
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
Published 2020“…In this paper, we present an approach based on Simulated Evolution algorithm for the design of SEN topology. …”
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303
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
Published 2020“…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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304
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
Published 2024“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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305
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
Published 2024“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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306
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
Published 2024“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
Get full text
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307
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
Published 2024“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
Get full text
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308
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
Published 2024“…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …”
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309
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…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. …”
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310
GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design
Published 2020“…The above problem is of multiobjective nature since three possibly conflicting objectives are considered to be optimized subject to the constraint of layout width. …”
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311
A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2022“…ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. …”
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312
Fuzzy simulated evolution for power and performance optimization ofVLSI placement
Published 2001“…This is a hard multiobjective combinatorial optimization problem with no known exact and efficient algorithm that can guarantee finding a solution of specific or desirable quality. …”
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313
A hybrid Harris Hawks optimizer for economic load dispatch problems
Published 2023“…ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. …”
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314
A Hybrid Harris Hawks Optimizer for Economic Load Dispatch Problems
Published 2022“…ELD is an important problem in power systems that is tackled by finding the optimal schedule of the generation units that minimize fuel conceptions under a set of constraints. …”
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315
An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Published 2023“…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. …”
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316
A Novel BIPV Reconfiguration Algorithm for Maximum Power Generation under Partial Shading
Published 2020“…The system is optimised for maximum yield to determine the optimal configuration and number of modules for each string using a genetic algorithm. …”
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317
Optimization of Battery Electric Bus Charging under Varying Operating Conditions
Published 2020“…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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conferenceObject -
318
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
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doctoralThesis -
319
Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches
Published 2018“…It is important to choose the correct cleaning method, frequency, and approach to ensure that the best practices are being used on the basis of both economic and technical criteria. To optimize the cleaning practices, an algorithm was developed by the author based on the literature review and economic analysis, and was run for multiple panels and tilts at the DEWA OTF solar lab in Dubai, UAE. …”
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320
Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…The main novelty of this work is the computer-aided diagnosis scheme for detecting abnormalities in breast ultrasound images by integrating a wavelet neural network (WNN) and the grey wolf optimization (GWO) algorithm. Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …”
