PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance

Zouari, Mariam; Baklouti, Nesrine; Medina, Javier; Kammoun, Habib M.; Ayed, Mounir Ben; Alimi, Adel M.

doi:10.1109/tits.2020.3016054

Cited by 17 publications

(8 citation statements)

References 72 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, we adopt the PSO to optimize P2 since the traditional deterministic algorithms are invalid. PSO is one of the swarm intelligence algorithms with fast converge speed, and it has a wide range of applications in science and industry [30].…”

Section: Trajectory Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Wang

2023

IEEE Access

View full text Add to dashboard Cite

Massive access outside the coverage of terrestrial cellular networks will be the main feature of the sixth generation (6G) networks. In order to cope with it, the cognitive satellite-UAV network (CSUN) has drawn a lot of attentions. In this paper, we investigate the UAV trajectory optimization and power allocation for the cell-free CSUN consisting of one satellite and a swarm of UAVs. Indeed, due to the on-board energy constraints of UAVs, both the trajectory optimization and the power allocation can significantly save the energy to improve the energy efficiency. The joint trajectory optimization and power allocation problem is formulated as a mixed-integer non-convex optimization problem which is extremely difficult to solve. In order to reduce the computational complexity, we decompose the original optimization problem into two subproblems in terms of the trajectory optimization and power allocation. For the trajectory optimization subproblem, we model it as a Traveling Salesman Problem (TSP), and the PSO is adopted to solve it. When the trajectory variables are fixed, the power allocation subproblem is still difficult to tackle due to its nonconvexity and large scale. Firstly, we present a kind of centralized algorithm in which the DC (difference of two convex functions) algorithm is applied to optimize it, and then a distributed algorithm based on auxiliary variables is proposed to reduce the signaling overhead and computational complexity. The simulation results demonstrate the effectiveness of the proposed joint trajectory optimization and power allocation algorithm for the cell-free CSUN.INDEX TERMS Cell-free, satellite-UAV network, power allocation, NOMA.

show abstract

Section: Trajectory Optimizationmentioning

confidence: 99%

“…log(t n,u,g,k + σ 2 ) is a ascending function with respect to variable t n,u,g,k . Therefore, P5 can be transformed as the epigraph form as follows: 9), ( 11), ( 12), ( 23), (30) (…”

Section: Distributed Algorithmmentioning

confidence: 99%

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Wang

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Once the Type-1 membership functions have been chosen, all the uncertainty disappears, because Type-1 membership functions are totally precise. Different Type-1 generalizations such as Hesitant Fuzzy Sets [2], Fuzzy Multi Sets [3], Intuitionistic Fuzzy Sets (IFSs) [4], Interval and General Type-2 Fuzzy Sets (IT-2 FSs and T-2 FSs respectively) [5]- [9] have been adopted. In fact, T-2 FSs have been applied especially to handle high uncertainty levels in some real world data and applications.…”

Section: Introductionmentioning

confidence: 99%

Novel Intuitionistic-Based Interval Type-2 Fuzzy Similarity Measures With Application to Clustering

Cherif¹,

Baklouti

Hagras

et al. 2022

IEEE Trans. Fuzzy Syst.

Self Cite

View full text Add to dashboard Cite

Similarity measures have been widely used in applications dealing with reasoning, classification and information retrieval. In this paper, we first propose three new Interval Type-2 Fuzzy Similarity measures (IT-2 FSMs) as a dual concept of some semi-metric distances between Intuitionistic Fuzzy Sets (IFSs). We also prove that the extended IT-2 FSMs satisfy many common properties (i.e. reflexivity, transivity, symmetry and overlapping). Experiments are carried out on a variety of datasets including UCI Learning Machine and real data. Comparative studies between the proposed IT-2 FSMs and the other well-known existing similarity measures (Gorzalczany, Bustince, Mitchell, Zeng and Li as well as VSM and Jaccard) are performed. Obviously, the best results are obtained with the IT-2 FSMs being resilient to the high levels of uncertainty noise. We also prove that our IT-2 FSMs can overcome the drawbacks of some existing similarity measures based on the accuracy rate measure. In addition, the proposed IT-2 FSMs are joined with Fuzzy cmeans algorithm as a clustering method and the proposed system is compared against the existing clustering algorithms (Type-1 Fuzzy k-means, Type-1 and Type-2 Fuzzy c-means, Cluster Forest, Bagged Clustering, Evidence Accumulation and Random Projection). Relying on the clustering quality parameters R and C (equivalent to the standard classification accuracy), the advanced IT-2FSMs show higher classification accuracy of about 86% which outperforms nearly the other classifiers.

show abstract

“…It was initially reserved for asynchronous machines, then, advanced studies allow to use it for synchronous machines. The method of Pulse Width Modulation (PWM) is an extension of the DTC concept [18,19]. It is a conventional method associated with multicellular converters.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control Design Based on Petri Nets Tool for a Serial Three-Phase Five-Level Multicellular Inverter Used as a Shunt Active Power Filter

et al. 2021

View full text Add to dashboard Cite

In this work, we represent a shunt active power filter (SAPF) based on a serial three-phase flying capacitor multilevel inverter (FCMI) controlled by a Petri Nets representation (PNs). This structure is chosen for its significant performances. In fact, the use of the FCMI within the SAPF makes it possible to increase the apparent switching frequency of the structure in order to reduce the value then the volume and weight of the inductance of the output filter. Besides, the FCMI allows the synthesis of a high-voltage signal using low-voltage semiconductor components. Therefore, improving the reliability of this structure leads to the improvement of the dynamics of the SAPF. This paper deals with a new control methodology based on PNs to regulate the flying capacitor voltages and the reference currents issued by the instantaneous active and reactive power theory. Compared to a conventional SAPF composed by a classical two-level inverter and controlled by a simple PWM control, simulation results demonstrate that our proposed control enhances the dynamic system and the power quality by reducing the total harmonic distortion (THD) satisfying the limits of IEEE standards.

show abstract

PSO-Based Adaptive Hierarchical Interval Type-2 Fuzzy Knowledge Representation System (PSO-AHIT2FKRS) for Travel Route Guidance

Cited by 17 publications

References 72 publications

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Trajectory Optimization and Power Allocation for Cell-Free Satellite-UAV Internet of Things

Novel Intuitionistic-Based Interval Type-2 Fuzzy Similarity Measures With Application to Clustering

Modeling and Control Design Based on Petri Nets Tool for a Serial Three-Phase Five-Level Multicellular Inverter Used as a Shunt Active Power Filter

Contact Info

Product

Resources

About