Pages that link to "Item:Q2390346"

The following pages link to GSA: A gravitational search algorithm (Q2390346):

Displaying 50 items.

• Training artificial neural networks by a hybrid PSO-CS algorithm (Q1736659) (← links)
• A new swarm intelligence approach for clustering based on krill herd with elitism strategy (Q1736727) (← links)
• Function optimization and parameter performance analysis based on gravitation search algorithm (Q1736752) (← links)
• A novel complex-valued encoding grey wolf optimization algorithm (Q1736753) (← links)
• Binary cockroach swarm optimization for combinatorial optimization problem (Q1736829) (← links)
• Exact and heuristic methods for optimizing lock-quay system in inland waterway (Q1737520) (← links)
• Hybridizing gravitational search algorithm with real coded genetic algorithms for structural engineering design problem (Q1788852) (← links)
• Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting (Q1792298) (← links)
• Self-adaptive artificial bee colony for function optimization (Q1794175) (← links)
• Particle state change algorithm (Q1797917) (← links)
• Two kinds of classifications based on improved gravitational search algorithm and particle swarm optimization algorithm (Q1798354) (← links)
• A novel heuristic optimization method: charged system search (Q1958592) (← links)
• An efficient binary gradient-based optimizer for feature selection (Q1984140) (← links)
• Nature-inspired approach: an enhanced moth swarm algorithm for global optimization (Q1997509) (← links)
• Team arrangement heuristic algorithm (TAHA): theory and application (Q1997688) (← links)
• Human urbanization algorithm: a novel metaheuristic approach (Q1998151) (← links)
• Quantum-like mutation-induced dragonfly-inspired optimization approach (Q1998183) (← links)
• An improved squirrel search algorithm for global function optimization (Q2003334) (← links)
• Kidney-inspired algorithm for optimization problems (Q2004818) (← links)
• Putting continuous metaheuristics to work in binary search spaces (Q2012877) (← links)
• The arithmetic optimization algorithm (Q2021992) (← links)
• Gradient-based optimizer: a new metaheuristic optimization algorithm (Q2053788) (← links)
• A chaotic strategy-based quadratic opposition-based learning adaptive variable-speed whale optimization algorithm (Q2060260) (← links)
• Stochastic multiple chaotic local search-incorporated gradient-based optimizer (Q2065423) (← links)
• An improved hybrid Aquila Optimizer and Harris Hawks Optimization for global optimization (Q2092133) (← links)
• An opposition-based butterfly optimization algorithm with adaptive elite mutation in solving complex high-dimensional optimization problems (Q2095669) (← links)
• A novel improved whale optimization algorithm for optimization problems with multi-strategy and hybrid algorithm (Q2104384) (← links)
• Modeling of a carbon emitted production inventory system with interval uncertainty via meta-heuristic algorithms (Q2109458) (← links)
• Alternated superior chaotic variants of gravitational search algorithm for optimization problems (Q2113138) (← links)
• An improved arithmetic optimization algorithm with forced switching mechanism for global optimization problems (Q2130099) (← links)
• An improved remora optimization algorithm with autonomous foraging mechanism for global optimization problems (Q2130475) (← links)
• TLMPA: teaching-learning-based marine predators algorithm (Q2131549) (← links)
• An enhanced hybrid arithmetic optimization algorithm for engineering applications (Q2136736) (← links)
• A novel version of slime mould algorithm for global optimization and real world engineering problems. Enhanced slime mould algorithm (Q2140055) (← links)
• A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process (Q2156463) (← links)
• EST-TSA: an effective search tendency based to tree seed algorithm (Q2163738) (← links)
• Enhance chaotic gravitational search algorithm (CGSA) by balance adjustment mechanism and sine randomness function for continuous optimization problems (Q2164544) (← links)
• Gannet optimization algorithm: a new metaheuristic algorithm for solving engineering optimization problems (Q2168121) (← links)
• Harris Hawks optimization with information exchange (Q2183031) (← links)
• Gravitational search algorithm based on multiple adaptive constraint strategy (Q2212491) (← links)
• Convergence analysis and performance of an extended central force optimization algorithm (Q2250257) (← links)
• A multi-strategy enhanced sine cosine algorithm for global optimization and constrained practical engineering problems (Q2287600) (← links)
• Combustion optimization of a boiler based on the chaos and Lévy flight vortex search algorithm (Q2295306) (← links)
• Single-machine scheduling with learning effect and resource-dependent processing times in the serial-batching production (Q2295326) (← links)
• Inspired grey wolf optimizer for solving large-scale function optimization problems (Q2295914) (← links)
• A quantum particle swarm optimization algorithm with teamwork evolutionary strategy (Q2298123) (← links)
• Spectrum allocation based on an improved gravitational search algorithm (Q2331409) (← links)
• A gradient-based cuckoo search algorithm for a reservoir-generation scheduling problem (Q2331429) (← links)
• A novel dynamic generalized opposition-based grey wolf optimization algorithm (Q2331450) (← links)
• Composite differential search algorithm (Q2336310) (← links)