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Found 9 papers, 2 papers with code
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
However, it is found that FDO has the longest runtime compared to the other algorithms.
Kurdish Handwritten Character Recognition using Deep Learning Techniques
From the experimental results, it is clear that the proposed deep learning model is performing well and is comparable to the similar model of other languages' handwriting recognition systems.
Harmony Search: Current Studies and Uses on Healthcare Systems
The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Moreover, the authors have enhanced a novel variant of Fitness Dependent Optimizer, which incorporates novel population initialization techniques and dynamically employed sine maps to select the weight factor for Fitness Dependent Optimizer.
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Ultimately, the target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.
An Improved BAT Algorithm for Solving Job Scheduling Problems in Hotels and Restaurants
Based on the achieved performance metrics, the proposed MBA establishes better global search ability and convergence than the original BA and other approaches.
A New K means Grey Wolf Algorithm for Engineering Problems
One of the common metaheuristic optimization algorithms is called Grey Wolf Optimization (GWO).
An Improved Simulation Model for Pedestrian Crowd Evacuation
This method enables the developed model to find a more appropriate evacuation area design, among others regarding safety due to selecting the best exit door location among many suggested locations.
A survey on dragonfly algorithm and its applications in engineering
Moreover, to examine the ability of the algorithm to optimize large-scale optimization problems CEC-C2019 benchmarks were utilized.
