Litcius/Paper detail

An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking

Essam H. Houssein, Bahaa El-din Helmy, Hegazy Rezk, Ahmed M. Nassef

2022Neural Computing and Applications39 citationsDOI

Topics & Concepts

SMA*Computer scienceMaximum power principleMathematical optimizationBoiler (water heating)Maximum power point trackingControl theory (sociology)Power (physics)AlgorithmArtificial intelligenceMathematicsControl (management)EngineeringQuantum mechanicsWaste managementInverterPhysicsSlime Mold and Myxomycetes ResearchElectrowetting and Microfluidic TechnologiesAdvanced Memory and Neural Computing
An efficient orthogonal opposition-based learning slime mould algorithm for maximum power point tracking | Litcius