Geyser Inspired Algorithm: A New Geological-inspired Meta-heuristic for Real-parameter and Constrained Engineering Optimization

Numerical investigation of the optimal porosity of titanium foam for dental implants

“…The goal of optimization is to identify the best solution to a problem within the specified parameters [ 37 , 38 ]. There are two popular approaches to solving optimization problems: the metaheuristic approach and the mathematical approach.…”

Designing a medical information diagnosis platform with IoT integration

“…Onlooker bees, stationed in the hive, make food source choices based on information shared by the employed bees, with their preference proportionate to the quality of the food source. In the event of resource depletion, an employed bee associated with that source transitions into a scout, undertaking a randomized exploration for new, superior food sources within the search space [ 22 ]. The detailed procedural steps are elucidated in Fig.…”

Algorithm for community security risk assessment and influencing factors analysis by back propagation neural network

“…Renowned for its prowess in pattern recognition, prediction, and classification, BPNN stands as a formidable machine learning (ML) algorithm. Its adaptive learning capability, adeptness in nonlinear mapping, and robustness render BPNN exceptional in tackling intricate relationships and nonlinear quandaries [ [5] , [6] , [7] ]. The reason for choosing BPNN over other ML models to optimize the security risk assessment model lies primarily in several prominent advantages of BPNN.…”