The following pages link to GWO (Q1354527):
Displaying 50 items.
- Hybrid algorithm of particle swarm optimization and grey wolf optimizer for improving convergence performance (Q670402) (← links)
- Adaptive switching gravitational search algorithm: an attempt to improve diversity of gravitational search algorithm through its iteration strategy (Q680895) (← links)
- Mimicking the collective intelligence of human groups as an optimization tool for complex problems (Q721771) (← links)
- Elephant swarm water search algorithm for global optimization (Q724625) (← links)
- Binary whale optimization algorithm and binary moth flame optimization with clustering algorithms for clinical breast cancer diagnoses (Q779012) (← links)
- Self-adaptive salp swarm algorithm for engineering optimization problems (Q822022) (← links)
- Tribe-charged system search for global optimization (Q823398) (← links)
- Group-based synchronous-asynchronous grey wolf optimizer (Q823422) (← links)
- A novel two-stage framework for reducing ergonomic risks of a mixed-model parallel U-shaped assembly-line (Q823484) (← links)
- Atomic orbital search: a novel metaheuristic algorithm (Q823488) (← links)
- Soft sensor modeling method based on SPA-GWO-SVR for marine protease fermentation process (Q832767) (← links)
- Autonomous particles groups for particle swarm optimization (Q1639896) (← links)
- Modified grey wolf optimization algorithm for transmission network expansion planning problem (Q1640619) (← links)
- An approach for reduction of false predictions in reverse engineering of gene regulatory networks (Q1649381) (← links)
- Modelling of hydrothermal unit commitment coordination using efficient metaheuristic algorithm: a hybridized approach (Q1659207) (← links)
- A new hybridization approach between the fireworks algorithm and grey wolf optimizer algorithm (Q1659350) (← links)
- Elite opposition-based social spider optimization algorithm for global function optimization (Q1662596) (← links)
- An easily understandable grey wolf optimizer and its application to fuzzy controller tuning (Q1662754) (← links)
- Dynamic modeling of steam condenser and design of PI controller based on grey wolf optimizer (Q1664655) (← links)
- Shape optimization of structures with cutouts by an efficient approach based on XIGA and chaotic particle swarm optimization (Q1713684) (← links)
- A hybrid discrete grey wolf optimizer to solve weapon target assignment problems (Q1727113) (← links)
- A new swarm intelligence approach for clustering based on krill herd with elitism strategy (Q1736727) (← links)
- A novel complex-valued encoding grey wolf optimization algorithm (Q1736753) (← links)
- Study of the practical convergence of evolutionary algorithms for the optimal program control of a wheeled robot (Q1994806) (← links)
- Nature-inspired approach: an enhanced moth swarm algorithm for global optimization (Q1997509) (← links)
- Team arrangement heuristic algorithm (TAHA): theory and application (Q1997688) (← links)
- Opposition-based moth-flame optimization improved by differential evolution for feature selection (Q1997867) (← links)
- Quantum-like mutation-induced dragonfly-inspired optimization approach (Q1998183) (← links)
- Adaptive Lévy-assisted salp swarm algorithm: analysis and optimization case studies (Q1998316) (← links)
- Determination of endometrial carcinoma with gene expression based on optimized Elman neural network (Q2007794) (← links)
- Stochastic fractal based multiobjective fruit fly optimization (Q2011918) (← links)
- The arithmetic optimization algorithm (Q2021992) (← links)
- An ameliorated teaching-learning-based optimization algorithm based study of image segmentation for multilevel thresholding using Kapur's entropy and Otsu's between class variance (Q2023178) (← links)
- Designing emergency flood evacuation plans using robust optimization and artificial intelligence (Q2025059) (← links)
- A novel composite forecasting framework by adaptive data preprocessing and optimized nonlinear grey Bernoulli model for new energy vehicles sales (Q2025590) (← links)
- An improved spotted hyena optimizer for PID parameters in an AVR system (Q2038771) (← links)
- Novel biogeography-based optimization algorithm with hybrid migration and global-best Gaussian mutation (Q2049745) (← links)
- Orthogonal learning harmonizing mutation-based fruit fly-inspired optimizers (Q2049769) (← links)
- A quantum-behaved simulated annealing algorithm-based moth-flame optimization method (Q2049775) (← links)
- Gradient-based optimizer: a new metaheuristic optimization algorithm (Q2053788) (← links)
- Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators (Q2053799) (← links)
- Stochastic multiple chaotic local search-incorporated gradient-based optimizer (Q2065423) (← links)
- Trees social relations optimization algorithm: a new swarm-based metaheuristic technique to solve continuous and discrete optimization problems (Q2076801) (← links)
- A salp swarm algorithm based on Harris Eagle foraging strategy (Q2079378) (← links)
- The pixel-based quadtree SBFEM with the parameter level set method for identifying cracks and voids (Q2086051) (← links)
- A hybrid artificial differential evolution gorilla troops optimizer for high-dimensional optimization problems (Q2086568) (← links)
- An improved hybrid Aquila Optimizer and Harris Hawks Optimization for global optimization (Q2092133) (← links)
- A new exploitation scheme in the context of bipolar classifiers (Q2093968) (← links)
- A modified Lévy flight distribution for solving high-dimensional numerical optimization problems (Q2095657) (← links)
- An opposition-based butterfly optimization algorithm with adaptive elite mutation in solving complex high-dimensional optimization problems (Q2095669) (← links)
