Therefore, we aim to study and compare the performance of four metaheuristic algorithms called Particle Swarm Optimization (PSO), Gravitational Search Algorithm ...
Jan 1, 2017 · Binary Genetic Algorithm (BGA) has been applied to improve solutions quality of this problem, but a more efficient algorithm is required.
Therefore, we aim to study and compare the performance of four metaheuristic algorithms called Particle Swarm Optimization (PSO), Gravitational Search Algorithm ...
Therefore, we aim to study and compare the performance of four metaheuristic algorithms called Particle Swarm Optimization (PSO), Gravitational Search Algorithm ...
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Mirhosseini M., Nezamabadi-pour H. Metaheuristic Search Algorithms in Solving the n-Similarity Problem // Fundamenta Informaticae. 2017. Vol. 152. No. 2. pp.
Metaheuristic algorithms can assist in selecting relevant features from the network traffic data for use in DDoS detection models.
Additionally, various metaheuristic algorithms have been proposed, including genetic algorithms, gravitational search algorithms, particle swarm ...
The results show that Genetic Algorithm has a better solution quality while Tabu Search has a faster execution time in comparison with other Meta-heuristic ...
Metaheuristic Algorithm - an overview | ScienceDirect Topics
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A metaheuristic algorithm is a computational method used to optimize combinatorial problems by iteratively exploring chosen search spaces to uncover possible ...
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May 31, 2024 · Researchers have used Metaheuristic algorithms to find optimal solutions and avoid computational complexity in recent decades [2,3,4,5,6,7]. The ...