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341
GATS: A Novel Hybrid Algorithm for Multiobjective Cell Placement in VLSI Circuit Design
Published 2020“…This paper addresses the optimization of cell placement step in VLSI circuit design [1]. …”
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342
Image-based extension to ant colony algorithm for path finding in gird-based environments
Published 2024“…We propose a technique (IPEAC) that extends the Ant Colony Optimization (ACO) for shortest path finding. In a grid-based environment, when the ACO converges, the optimal path needs to be identified among other emerging paths. …”
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343
Image-based extension to ant colony algorithm for path finding in gird-based environments
Published 2024“…We propose a technique (IPEAC) that extends the Ant Colony Optimization (ACO) for shortest path finding. In a grid-based environment, when the ACO converges, the optimal path needs to be identified among other emerging paths. …”
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344
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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345
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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346
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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347
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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348
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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349
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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350
Genetic Algorithm Analysis using the Graph Coloring Method for Solving the University Timetable Problem
Published 2018“…Genetic algorithms were successfully useful to solve many optimization problems including the university Timetable Problem. …”
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351
Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
Published 2021“…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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352
Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing
Published 2023“…The Particle swarm optimization method performs better in improving makespan, flow time, throughput time, response time, and degree of imbalance.…”
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353
A multi-objective planning approach for optimal DG allocation for droop based microgrids
Published 2021“…The proposed formulation is compared to existing planning algorithms for droop-based microgrids. The re-sults show that including the secondary control region in the optimization problem achieves lower volt-age deviations and no frequency deviations at all demand levels. …”
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354
Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
Published 2023“…The results show an optimum resource allocation with an information-based cost function that is optimized by an Auction Algorithm.…”
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355
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356
Power-constrained system-on-a-chip test scheduling using a genetic algorithm
Published 2006“…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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357
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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358
Particle Swarm Optimization with Adaptive Bounds. IEEE Congress on Evolutionary Computation
Published 2012“…The algorithm is compared to the standard PSO algorithm using a suite of well-known benchmark optimization functions. …”
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359
Modified Elite Opposition-Based Artificial Hummingbird Algorithm for Designing FOPID Controlled Cruise Control System
Published 2023“…This study proposes a novel approach for designing a fractional order proportional-integral-derivative (FOPID) controller that utilizes a modified elite opposition-based artificial hummingbird algorithm (m-AHA) for optimal parameter tuning. Our approach outperforms existing optimization techniques on benchmark functions, and we demonstrate its effectiveness in controlling cruise control systems with increased flexibility and precision. …”
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