A review of the modification strategies of the nature inspired algorithms for feature selection problem
This survey is an effort to provide a research repository and a useful reference for
researchers to guide them when planning to develop new Nature-inspired Algorithms …
researchers to guide them when planning to develop new Nature-inspired Algorithms …
Recent advances in Grey Wolf Optimizer, its versions and applications
The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …
Optimized ANFIS model using Aquila Optimizer for oil production forecasting
Oil production forecasting is one of the essential processes for organizations and
governments to make necessary economic plans. This paper proposes a novel hybrid …
governments to make necessary economic plans. This paper proposes a novel hybrid …
[HTML][HTML] Smart-contract aware ethereum and client-fog-cloud healthcare system
The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes.
IoMT enables many sensors to collect patient data from various locations and send it to a …
IoMT enables many sensors to collect patient data from various locations and send it to a …
A novel hybrid gradient-based optimizer and grey wolf optimizer feature selection method for human activity recognition using smartphone sensors
Human activity recognition (HAR) plays a vital role in different real-world applications such
as in tracking elderly activities for elderly care services, in assisted living environments …
as in tracking elderly activities for elderly care services, in assisted living environments …
Lemurs optimizer: A new metaheuristic algorithm for global optimization
The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper.
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
This algorithm's primary inspirations are based on two pillars of lemur behavior: leap up and …
Recent advances in multi-objective grey wolf optimizer, its versions and applications
In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is
provided. In multi-objective optimization (MO), more than one objective function must be …
provided. In multi-objective optimization (MO), more than one objective function must be …
Automated waste-sorting and recycling classification using artificial neural network and features fusion: A digital-enabled circular economy vision for smart cities
Waste generation in smart cities is a critical issue, and the interim steps towards its
management were not that effective. But at present, the challenge of meeting recycling …
management were not that effective. But at present, the challenge of meeting recycling …
Recent techniques used in home energy management systems: A review
Power systems are going through a transition period. Consumers want more active
participation in electric system management, namely assuming the role of producers …
participation in electric system management, namely assuming the role of producers …
A hybrid white shark equilibrium optimizer for power scheduling problem based IoT
The power schedule problem (PSP) is the problem of managing, controlling, and scheduling
power consumption of electrical appliances/devices to operate at the best periods according …
power consumption of electrical appliances/devices to operate at the best periods according …