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work optimization » swarm optimization (Expand Search), dog optimization (Expand Search), whale optimization (Expand Search)
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The buffered work-pool approach for search-tree based optimization algorithms
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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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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…In this MOD-POA+ELM algorithm, the modified pelican optimization algorithm (MOD-POA) has been utilized to optimize the parameters of ELM’s hidden neurons. …”
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An Intensive and Comprehensive Overview of JAYA Algorithm, its Versions and Applications
Published 2021“…In this review paper, JAYA algorithm, which is a recent population-based algorithm is intensively overviewed. …”
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Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Nevertheless, metaheuristic algorithms attract substantial attention to solving different problems in optimization. …”
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Using genetic algorithms to optimize software quality estimation models
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Cuckoo search for portfolio optimization. (c2014)
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Optimization metaheuristic for software testing
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A Fusion-Based Approach for Skin Cancer Detection Combining Clinical Images, Dermoscopic Images, and Metadata
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doctoralThesis -
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A new genetic algorithm approach for unit commitment
Published 1997“…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
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masterThesis -
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A new minimum curvator multi-step method for unconstrained optimization
Published 1998Get full text
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A modified optimal design of a vibration absorber for ground motion isolation
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A Novel Centrality-Based Approach for Link Prediction
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masterThesis -
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A novel network-based SIS framework for improved GA performance
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