Pages that link to "Item:Q2426680"

The following pages link to A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm (Q2426680):

Displaying 23 items.

• A novel multi-level image segmentation algorithm via random opposition learning-based Aquila optimizer (Q6052290) (← links)
• A novel heuristic algorithm for solving engineering optimization and real-world problems: people identity attributes-based information-learning search optimization (Q6084441) (← links)
• Efficient hybrid Bayesian optimization algorithm with adaptive expected improvement acquisition function (Q6094430) (← links)
• Absolute versus stochastic stability of the artificial bee colony in synchronous and sequential modes (Q6095504) (← links)
• A multi-strategy enhanced northern goshawk optimization algorithm for global optimization and engineering design problems (Q6096422) (← links)
• Fuzzy adaptive forensic-based investigation algorithm for optimizing frequency-constrained structural dome design (Q6104740) (← links)
• A data-driven \textit{meta}-learning recommendation model for multi-mode resource constrained project scheduling problem (Q6106590) (← links)
• Convergence analysis of flow direction algorithm in continuous search space and its improvement (Q6108221) (← links)
• Adaptive operator selection with reinforcement learning (Q6139514) (← links)
• Perturbations and phase transitions in swarm optimization algorithms (Q6150990) (← links)
• A quantum-inspired vortex search algorithm with application to function optimization (Q6150993) (← links)
• A binary monkey search algorithm variation for solving the set covering problem (Q6151196) (← links)
• New hybrid perturbed projected gradient and simulated annealing algorithms for global optimization (Q6161543) (← links)
• Population-based iterated greedy algorithm for the S-labeling problem (Q6164608) (← links)
• Control chart for exponential individual samples with adaptive sampling interval method based on economic statistical design: an extension of costa and Rahim’s model (Q6169388) (← links)
• Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and Lasso machine learning techniques (Q6175204) (← links)
• Comparative study of recent metaheuristics for solving a multiobjective transonic aeroelastic optimization of a composite wing (Q6181791) (← links)
• Information-decision searching algorithm: theory and applications for solving engineering optimization problems (Q6195219) (← links)
• An optimization numerical spiking neural P system for solving constrained optimization problems (Q6496128) (← links)
• Differential evolution with proration-based mutation strategy and multi-segment mixed parameter setting for numerical optimization (Q6500421) (← links)
• Differential evolution algorithm with a complementary mutation strategy and data fusion-based parameter adaptation (Q6546021) (← links)
• A novel discrete differential evolution algorithm combining transfer function with modulo operation for solving the multiple knapsack problem (Q6595340) (← links)
• A hybrid metaheuristic for the clustered travelling salesman problem (Q6606574) (← links)