Search alternatives:
objects optimization » objective optimization (Expand Search), rabbits optimization (Expand Search)
binary a » binary rat (Expand Search)
a based » _ based (Expand Search), 3 based (Expand Search), ni based (Expand Search)
objects optimization » objective optimization (Expand Search), rabbits optimization (Expand Search)
binary a » binary rat (Expand Search)
a based » _ based (Expand Search), 3 based (Expand Search), ni 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“…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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Natural optimization algorithms for optimal regression testing
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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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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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Metaheuristic Algorithm for State-Based Software Testing
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine
Published 2024“…Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”
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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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Minimizing using BBO and DFO methods
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Optimization metaheuristic for software testing
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A simulated annealing algorithm for the capacitated vehicle routing problem
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A simulated annealing algorithm for the capacitated vehicle routing problem
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
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Genetic Algorithm Control Strategy for Heat Pump System in Battery Electric Buses
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Minimum UAV fog servers with maximum IoT devices association using genetic algorithms
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Optimization of Battery Electric Bus Charging under Varying Operating Conditions
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A new minimum curvator multi-step method for unconstrained optimization
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