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 …
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 …
Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms
This study develops a novel mathematical model to design a sustainable mask Closed-Loop
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …
Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi …
Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions
In this paper, a new responsive-green-cold vaccine supply chain network during the COVID-
19 pandemic is developed for the first time. According to the proposed network, a new multi …
19 pandemic is developed for the first time. According to the proposed network, a new multi …
MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems
Monkey king evolution (MKE) is a population-based differential evolutionary algorithm in
which the single evolution strategy and the control parameter affect the convergence and the …
which the single evolution strategy and the control parameter affect the convergence and the …
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 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 …
[HTML][HTML] Recent advances in butterfly optimization algorithm, its versions and applications
The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …
optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary …
Smart homes: Potentials and challenges
R El-Azab - Clean Energy, 2021 - academic.oup.com
Decentralized distributed clean-energy sources have become an essential need for smart
grids to reduce the harmful effects of conventional power plants. Smart homes with a …
grids to reduce the harmful effects of conventional power plants. Smart homes with a …
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 …