Physical principles of brain–computer interfaces and their applications for rehabilitation, robotics and control of human brain states
Brain–computer interfaces (BCIs) development is closely related to physics. In this paper, we
review the physical principles of BCIs, and underlying novel approaches for registration …
review the physical principles of BCIs, and underlying novel approaches for registration …
Metaheuristic algorithms: A comprehensive review
M Abdel-Basset, L Abdel-Fatah, AK Sangaiah - … big data on the cloud with …, 2018 - Elsevier
Metaheuristic algorithms are computational intelligence paradigms especially used for
sophisticated solving optimization problems. This chapter aims to review of all …
sophisticated solving optimization problems. This chapter aims to review of all …
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …
A new optimization method based on COOT bird natural life model
Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …
complex engineering problems. These algorithms can search volatile and multi-dimensional …
Marine Predators Algorithm: A nature-inspired metaheuristic
This paper presents a nature-inspired metaheuristic called Marine Predators Algorithm
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …
(MPA) and its application in engineering. The main inspiration of MPA is the widespread …
Parrot optimizer: Algorithm and applications to medical problems
Stochastic optimization methods have gained significant prominence as effective techniques
in contemporary research, addressing complex optimization challenges efficiently. This …
in contemporary research, addressing complex optimization challenges efficiently. This …
Harris hawks optimization: Algorithm and applications
In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …
A novel meta-heuristic optimization algorithm: thermal exchange optimization
This paper introduces a new optimization algorithm based on Newton's law of cooling, which
will be called Thermal Exchange Optimization algorithm. Newton's law of cooling states that …
will be called Thermal Exchange Optimization algorithm. Newton's law of cooling states that …
Chaotic grey wolf optimization algorithm for constrained optimization problems
Abstract The Grey Wolf Optimizer (GWO) algorithm is a novel meta-heuristic, inspired from
the social hunting behavior of grey wolves. This paper introduces the chaos theory into the …
the social hunting behavior of grey wolves. This paper introduces the chaos theory into the …
Water cycle algorithm–A novel metaheuristic optimization method for solving constrained engineering optimization problems
This paper presents a new optimization technique called water cycle algorithm (WCA) which
is applied to a number of constrained optimization and engineering design problems. The …
is applied to a number of constrained optimization and engineering design problems. The …