Pages that link to "Item:Q2660355"
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The following pages link to A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean (Q2660355):
Displaying 10 items.
- An enhanced hybrid arithmetic optimization algorithm for engineering applications (Q2136736) (← links)
- Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization (Q2138658) (← links)
- A novel version of slime mould algorithm for global optimization and real world engineering problems. Enhanced slime mould algorithm (Q2140055) (← links)
- A reinforced exploration mechanism whale optimization algorithm for continuous optimization problems (Q2146669) (← links)
- Dwarf mongoose optimization algorithm (Q2670370) (← links)
- Improved particle swarm optimizer for problems with variable evaluation time: Application to asymptotic homogenization (Q6092247) (← links)
- LCAHA: a hybrid artificial hummingbird algorithm with multi-strategy for engineering applications (Q6096488) (← links)
- Fuzzy adaptive forensic-based investigation algorithm for optimizing frequency-constrained structural dome design (Q6104740) (← links)
- Three-learning strategy particle swarm algorithm for global optimization problems (Q6190043) (← links)
- Torque fault compensation in electric vehicle switched reluctance motor drives: a jellyfish search optimization method (Q6631751) (← links)