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based design » based decision (Expand Search)
i based » ni based (Expand Search), _ based (Expand Search), 3 based (Expand Search)
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An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection
Published 2022“…In this paper, a recent swarm intelligence metaheuristic method called RSO which is inspired by the social and hunting behavior of a group of rats is enhanced and explored for FS problems. The binary enhanced RSO is built based on three successive modifications: i) an S-shape transfer function is used to develop binary RSO algorithms; ii) the local search paradigm of particle swarm optimization is used with the iterative loop of RSO to boost its local exploitation; iii) three crossover mechanisms are used and controlled by a switch probability to improve the diversity. …”
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The buffered work-pool approach for search-tree based optimization algorithms
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
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A modified optimal design of a vibration absorber for ground motion isolation
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Cuckoo search for portfolio optimization. (c2014)
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A new genetic algorithm approach for unit commitment
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Design and development of an embedded controller for roboticmanipulator
Published 1998“…Mohseni's Proposed Algorithm, MPA, has been incorporated into the embedded controller to reduce the computational efforts and to obtain a close-to-optimal control law. …”
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A cluster-based model for QoS-OLSR protocol
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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A method for data path synthesis using neural networks
Published 2017“…The proposed algorithm has a running time complexity of O(1) for a neural network with n vertices and c cliques. …”
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Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
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