Hybrid particle filter–particle swarm optimization algorithm and application to fuzzy controlled servo systems
This article presents a hybrid metaheuristic optimization algorithm that combines particle
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …
filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm …
The Use of Evolutionary Algorithms in the Modelling of Diffuse Radiation in Terms of Simulating the Energy Efficiency of Photovoltaic Systems
W Olchowik, J Gajek, A Michalski - Energies, 2023 - mdpi.com
In light of the rapidly growing number of photovoltaic micro-grids, the modelling of their short-
term power yields based on meteorological measurements is increasing in significance. This …
term power yields based on meteorological measurements is increasing in significance. This …
A decision making model based on the leading principal submatrices of a reciprocal preference relation
F Liu, JW Zhang, SC Zou - Applied Soft Computing, 2020 - Elsevier
A completed comparison matrix is the basic tool in the analytic hierarchy process (AHP). In
practice, the process of forming a comparison matrix is complex and it is worth being …
practice, the process of forming a comparison matrix is complex and it is worth being …
Group decision support model based on sequential additive complementary pairwise comparisons
F Liu, JW Zhang, ZH Luo - Applied Intelligence, 2021 - Springer
In group decision support systems, it is important on how to process and manage individual
decision information. In the paper, a sequential model is proposed to manage individual …
decision information. In the paper, a sequential model is proposed to manage individual …
Hybrid AI-based Dynamic Re-routing Method for Dense Low-Altitude Air Traffic Operations
In this paper, we propose a rerouting method based on hybrid Artificial Intelligence (AI)
algorithms for managing Unmanned Aircraft Systems (UAS) and Urban Air Mobility (UAM) …
algorithms for managing Unmanned Aircraft Systems (UAS) and Urban Air Mobility (UAM) …
[PDF][PDF] Taxonomy of memory usage in swarm intelligence-based metaheuristics
SA Yasear, KR Ku-Mahamud - Baghdad Sci. J, 2019 - iasj.net
Metaheuristics under the swarm intelligence (SI) class have proven to be efficient and have
become popular methods for solving different optimization problems. Based on the usage of …
become popular methods for solving different optimization problems. Based on the usage of …
[PDF][PDF] The Use of Evolutionary Algorithms in theModelling of Diffuse Radiation in Terms of Simulating the Energy Efficiency of Photovoltaic Systems
A Michalski, W Olchowik, J Gajek - Energies, 2023 - repo.pw.edu.pl
In light of the rapidly growing number of photovoltaic micro-grids, the modelling of their short-
term power yields based on meteorological measurements is increasing in significance. This …
term power yields based on meteorological measurements is increasing in significance. This …
An orthogonal moth flame optimization for global optimization and application to model order reduction problem
Moth-Flame optimization is a meta-heuristic algorithm based on the navigation behaviour of
moths. Generally, moth's poses a very effective mechanism called transverse orientation …
moths. Generally, moth's poses a very effective mechanism called transverse orientation …
[PDF][PDF] A Path Planning Algorithm Based on a New Obstacle Avoidance Method
II Hamad - researchgate.net
Abstract Autonomous Mobile Robotics (AMR) is the trend in the fourth industrial revolution.
Unmanned vehicles, autonomous underwater vehicles, landfill multi robots, searching and …
Unmanned vehicles, autonomous underwater vehicles, landfill multi robots, searching and …