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301
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302
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303
A new tabu search algorithm for the long-term hydro scheduling problem
منشور في 2002"…The algorithm is based on using the short-term memory of the tabu search (TS) approach to solve the nonlinear optimization problem in continuous variables of the LTHSP. …"
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304
An analytical framework for high-speed hardware particle swarm optimization
منشور في 2020"…Engineering optimization techniques are computationally intensive and can challenge implementations on tightly-constrained embedded systems. …"
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305
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306
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307
Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
منشور في 2020"…This study proposes a genetic algorithm-based control strategy that optimizes the coefficient of performance of the HP system to decrease its energy consumption and maximize the driving range. …"
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conferenceObject -
308
Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition
منشور في 2021"…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …"
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309
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"
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310
Environmental/economic power dispatch using multiobjective evolutionary algorithms: a comparative study
منشور في 2003"…A comparative study of newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) applied to a nonlinear power system multiobjective optimization problem is presented in this paper. …"
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311
A Review on Swarm Intelligence and Evolutionary Algorithms for Solving the Traffic Signal Control Problem
منشور في 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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312
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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313
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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314
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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315
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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316
Improving Neural Network Using Jaya Algorithm with Opposite Learning for Air Quality Prediction
منشور في 2024"…In this paper, an enhanced Jaya optimization algorithm is used to improve the MLP outcome (called EOL-Jaya-MLP). …"
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317
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
منشور في 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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318
GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design
منشور في 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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319
A hybrid Harris Hawks optimizer for economic load dispatch problems
منشور في 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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320
Fuzzy simulated evolution for power and performance optimization ofVLSI placement
منشور في 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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article