Souhail Dhouib

@univ-sfax.tn

Full Professor at the Higher Institute of Industrial Management
University of Sfax, TUNISIA

Souhail Dhouib


                           Download Compact PDF  
https://researchid.co/souhail
- Listed as one of the World’s Top 2% Scientists in the main field “Information & Communication Technologies”, the first subfield of “Artificial Intelligence” and the second subfield of “Operations Research” (by Stanford University and Elsevier)

- Ranked 21st worldwide among the most cited authors in the field of Metaheuristic (by Google Scholar),

- Ranked 29th world’s best researcher in the discipline of Metaheuristic (by ScholarGPS, prior to five years),

- Ranked 71th world’s best researcher in the discipline of Industrial Engineering and Operations Research (by ScholarGPS, prior to five years),

- Ranked 106th world’s best researcher in the discipline of Mobile Robot (by ScholarGPS, prior to five years),

- Inventor of a new Artificial Intelligence optimization concept, namely the "Dhouib-Matrix",

- Taking part at the Frontiers Planet Prize as contact point and nominator,

- Keynote speaker and workshop holder for several international conferences.

EDUCATION

- Bachelor degree in Management Information Systems
- Master degree in Operations Research and Production Management
- Ph.D. degree in Quantitative Methods (Artificial Intelligence, Optimization)

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Decision Sciences, Modeling and Simulation, Computational Theory and Mathematics

FUTURE PROJECTS

Robotics


Applications Invited

New Heuristic for the Generalized Assignment Problem: The Dhouib-Matrix-AP2


Applications Invited

DM-MSTP


Applications Invited
73

Scopus Publications

1053

Scholar Citations

21

Scholar h-index

37

Scholar i10-index

Scopus Publications

  • A Computational Time Analysis of Dhouib-Matrix-SPP versus Particle Swarm Optimization Metaheuristics for Grid-based Path Planning
    Souhail Dhouib, Dorra Kallel, Noura Beji, Saima Dhouib
    Statistics Optimization and Information Computing, 2026
    Actually, path planning is one of the most fundamental aspects of mobile robots study. The objective is to determine the shortest feasible trajectory from a starting point to a goal location while avoiding obstacles. Particle Swarm Optimization (PSO) has been widely applied to this problem. However, it is often complex, requiring careful parameter tuning and extensive computational resources, in spite of that it suffers from high computational complexity, sensitivity to parameter tuning, and local optima stagnation. To overcome these limitations, the new Dhouib-Matrix-SPP (DM-SPP) method is proposed, which is rapid, straightforward, and does not require parameter adjustment. Simulation experiments on four case studies (I-shaped, U-shaped, T-shaped and Randomly shaped) demonstrate that DM-SPP consistently outperforms the ranking Particle Swarm Optimization (rPSO) metaheuristic and the artificial potential field-based Particle Swarm Optimization (apfrPSO) metaheuristic in terms of computational time: DM-SPP is 66 time rapider than the rPSO metaheuristic and 31 time rapider than the apfrPSO metaheuristic. These findings indicate that DM-SPP is a powerful and scalable approach for mobile robot path planning.
  • Fuzzy Analytical Hierarchy Process to Optimize Supply Chain Processes in the Digital Age
    Dorra Kallel, Noura Beji, Souhail Dhouib
    Statistics Optimization and Information Computing, 2026
    The rise of e-commerce has profoundly reshaped supply chain management in the apparel industry, increasing pressure on companies to enhance responsiveness, efficiency, and service quality. This study evaluates the influence of e-commerce on key supply chain dimensions using the Fuzzy Analytical Hierarchy Process (FAHP). Six criteria are examined: efficiency, delivery, environmental impact, services, social, and economic factors. Expert judgments, collected from professionals in the apparel sector, reveal that efficiency, delivery, and service quality are the most influential criteria in the digital context. Beyond identifying key priorities, this study provides a structured decision-making framework that supports managers in addressing uncertainty inherent to digital supply chains. The findings also highlight the strategic value of integrating fuzzy MCDM tools to guide future supply chain optimization initiatives. These insights provide strategic guidance for apparel companies seeking to improve supply chain performance and adapt to the evolving demands of online commerce.
  • Optimizing the Shortest and Safety Pathways in Infectious Disease Context via the Novel Dhouib-Matrix-SPP Method
    Souhail Dhouib, Habib Chabchoub
    Applied Computational Intelligence and Soft Computing, 2026
    In this paper, the shortest path problem is considered with emphasis on reducing the COVID‐19 contamination risk. Generally, the shortest path problem focuses on planning the minimal path considering the path distance criterion, and here the aim is to generate the shortest safe path with obstacles free collision and virus infection saving. For that, the novel Dhouib‐Matrix Shortest Path Problem (DM‐SPP) method is enhanced to reduce the probability of catching COVID‐19 by keeping people away from crowded and risked space. DM‐SPP is enriched with a grid map, namely, the risk pandemic grid map, gathering the human flow density of each area in order to mark the risk epidemic zone. To prove the performance of DM‐SPP to optimize the trajectory in COVID‐19 virus infection, two case sites are used (a campus case study represented as 40 × 40 grid map and an experimental platform of 50 × 50 grid map). The solutions generated by DM‐SPP are graphically represented using the Python programing language, and its results are compared to the results of recently developed metaheuristics in the literature, namely, the classical ant colony optimization metaheuristic, the improved ant colony optimization metaheuristic, the classical A ∗ algorithm, and the improved A ∗ algorithm.
  • Clustering cryptocurrencies market through the innovative DM-MSTP method
    Souhail Dhouib, Hanene Ezzine, Mouna Abdelhedi, Siwar Ellouz, Habib Chabchoub
    Frontiers in Blockchain, 2026
    Cryptocurrencies illustrate rapid technological transformation, market diversification, and growing adoption by investors. Clustering cryptocurrencies into homogeneous groups enables investors and portfolio managers to better understand and control risk transmission mechanisms and market co-movements, ultimately optimizing portfolio construction and enhancing risk-return management. This paper introduces a new Artificial Intelligence method, Dhouib-Matrix-MSTP (DM-MSTP), to cluster the cryptocurrencies market. At first, the correlation matrix between the whole thirty-five cryptocurrencies is converted as a distance matrix. At second, the DM-MSTP method is developed to present the minimum spanning tree joining the all thirty-five cryptocurrencies (as a topological representation). Finally and to help the decision-maker, the minimum spanning tree represented by DM-MSTP can be used to cluster the cryptocurrencies by groups.
  • Financial Portfolio Innovation via the Dhouib-Matrix-3 Metaheuristic
    Souhail Dhouib, Hanene Ezzine, Mouna Abdelhedi, Siwar Ellouz, Habib Chabchoub
    Applied Computational Intelligence and Soft Computing, 2026
    The portfolio optimization problem is a mathematical and financial decision‐making method that aims to achieve an optimal trade‐off between financial risk and return. This paper presents the first application of the novel metaheuristic Dhouib‐Matrix‐3 (DM3) to solve the portfolio optimization problem. DM3 is originally designed to address combinatorial problems, and in this study, it is adapted for a continuous optimization setting and applied to the OR‐Library instance (the Hang Seng Index consisting of 31 stocks) as well as to the Tunisian Stock Exchange for the year 2024. The problem is formulated using the Markowitz model, in which return is maximized and risk is minimized. The simulation results show that the novel DM3 metaheuristic is capable of generating the efficient frontier (also known as the set of Pareto nondominated solutions). Our empirical findings for the Tunisian Stock Exchange in 2024 indicate that three indices Consumer Services, Distribution, and Basic Materials are the most sensitive, with the Basic Materials index being particularly prominent. For financial risk, the minimum‐risk solution is associated with high values for the Consumer Services and Distribution indices and a lower value for the Basic Materials index. In contrast, for financial return, the maximum‐return solution is characterized by lower values for the Consumer Services and Distribution indices and a higher value for the Basic Materials index.
  • Fast Method for the Mobile Robot Path Planning Problem: The DM-SPP Method
    Souhail Dhouib
    Statistics Optimization and Information Computing, 2025
    The main objective of the Mobile Robot Path Planning Problem is to find the optimal waypoints for a mobile robot with obstacles collision-free. This is a very complicated and needed task in robotic. Basically, planning rapidly the optimal task will increase the performance of the robot by increasing the speed to reach the target position and reducing energy conception. In this research work, the innovative technique namely Dhouib-Matrix-SPP (DM-SPP) is studied with eight movement directions as well as four. DM-SPP is a very rapid method built on the contingency matrix navigation and needing only n iterations to create the optimal path (where n is the number of nodes). The simulation results on several complicated case studies (varying from (20 x 20) grid map to (80 x 80) grid map) prove that DM-SPP can rapidly create an accurate trajectory with obstacles collision-free. Moreover, the proposed technique is compared with the very recently designed artificial intelligence approaches. The results of this comparison proved that the novel DM-SPP is the fastest approach: For example, it is (289.325) times rapider than the A* algorithm, (156.769) times faster than the Improved A* method, (127.901) times speedier than the Bidirectional A* technique, (69.586) times quicker than the Improved Bidirectional A* algorithm and (45.671) times rapider than the Variable Neighborhood Search BA* metaheuristic. These findings underline the speed of the proposed DM-SPP optimization technique and emerge the applicability of DM-SPP as a reliable option for the trajectory optimization.
  • Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic
    Souhail Dhouib
    Concurrent Engineering Research and Applications, 2025
    Drilling holes on a Printed Circuit Board is a complicated task and it is usually ensured via a Computer Numerical Control (CNC) machine using a drilling robot arm. Commonly, to increase the performance of the CNC, the movement of its robot arm is minimized via the optimization of the holes drilling route. Hence, different metaheuristics are used to plan the shortest drilling route. In this purpose, we designed a novel metaheuristic namely Dhouib-Matrix-4 (DM4) and in this paper DM4 is enhanced with a Tabu list (T) and adapted to plan the shortest route for the drilling robot arm: the proposed method is entitled Dhouib-Matrix-4-Tabu (DM4-T). In fact, DM4-T combines two techniques in a multi-start structure: (i) An initial basic solution is generated using the novel Dhouib-Matrix-TSP1 heuristic (ii) this initial solution is intensified via the innovative Far-to-Near local search technique with the Tabu list. Experimental results indicate the performance and robustness of DM4-T to solve several instances up to 2152 holes. Indeed, DM4- T outperforms several existing metaheuristics in the literature such as Genetic Algorithm, Ants Colony Optimization, Integrated Genetic Simulated Annealing and Modified Shuffled Frog Leaping Algorithm.
  • Innovative technique with enriched movement directions to plan the trajectory for an autonomous Mobile robot
    Souhail Dhouib
    Science Progress, 2025
    This paper presents a deep analysis of a novel method entitled Dhouib-Matrix-SPP-24 (DM-SPP-24) and its application to rapidly generate the shortest trajectory for an autonomous mobile robot. For this problem, the environment is represented by a grid map where several obstacles are exposed with static positions and the main objective is to plan the shortest trajectory for an autonomous mobile robot from the current to the target positions with obstacles free-collisions. This study introduces an in-depth exploration of the twenty-four movement directions of the DM-SPP-24 method, an application on six grid maps and a comparison to several recent metaheuristics taken from the literature (such as the Improved Ant Colony Algorithm, the enhanced Ant Colony Optimization with Gaussian Sampling, the Particle Swarm Optimization, the Genetic Algorithm and other methods). Indeed, a new method namely DM-SPP-24 is introduced and this study notes an improvement in the quality and the rapidity of the generated solution by DM-SPP-24 versus the solution produced by the recent published metaheuristics in the literature. This work serves as a valuable resource for robotics and path planning viewing that it introduces a very fast and accurate method (DM-SPP-24) to plan the trajectory of an autonomous mobile robot.
  • Banking Service Quality as a Criterion for Customer Satisfaction – An Analytical Study on a Sample of Iraqi Banks Listed on the Iraq Stock Exchange
    Souaad Abdulfattah Mohammed, Souail Dhouib
    International Research Journal of Multidisciplinary Scope, 2025
    Customer satisfaction is a critical focus for business organizations, particularly in the banking sector, where customer interactions play a vital role in shaping a bank's capital. This study aims to examine the influence of banking service quality on customer satisfaction, using a sample of banks listed on the Iraq Stock Exchange in 2023. Previous research suggests that service quality significantly affects customer satisfaction, prompting this investigation within the Iraqi context. Data were gathered through 102 questionnaires, and the results were analyzed using correlation and regression analyses. The findings indicate that the quality of banking services has a significant impact on customer satisfaction, with key dimensions such as tangibility, safety, and empathy showing a particularly strong influence. Tangibility, which had a mean of 2.149 and a high standard deviation of 0.863, revealed variability in respondents' perceptions. In contrast, reliability exhibited the lowest standard deviation (0.799) and the highest agreement among respondents, indicating homogeneity in how reliability is perceived. Correlation analysis showed significant relationships between banking service quality dimensions (responsiveness, safety) and customer satisfaction components, such as satisfaction with procedures and employees. Multiple regression analysis further demonstrated that tangibility, safety, and empathy were the most influential factors, explaining 74.8% of the variation in customer satisfaction. These results suggest that enhancing these specific service quality dimensions is essential for improving customer satisfaction in the Iraqi banking sector, particularly given the sector's challenges and the importance of maintaining customer trust.
  • Unraveling the Intuitionistic Octagonal Fuzzy Travelling Salesman Problem via Dhouib-Matrix-TSP1 Heuristic
    Souhail Dhouib, Mariem Miledi, Taicir Loukil
    Statistics Optimization and Information Computing, 2025
    The Travelling Salesman Problem (TSP) is an NP-hard problem of optimization that its goal is to obtain the shortest cycle among all cities that should be visited only once by a salesperson. The main goal of a salesperson is to visit each city only once and to obtain the distance traveled as well as the travelling costs as low as possible. In real-life and due to the absence of information, variables coming from experts’ collected data are usually uncertain and imprecise. In such cases, the decision maker cannot exactly expect the TSP cost. That’s why in this paper, the TSP under the intuitionistic octagonal fuzzy environment is considered and solved by adapting the very recent greedy method namely Dhouib-Matrix-TSP1 (DM-TSP1). This heuristic is very simple and it is composed of four steps. DM-TSP1 uses the Sum metric and is enriched with a ranking function. This current research work presents the first resolution of the TSP under the intuitionistic octagonal fuzzy domain. For this reason, new case studies are generated in order to carry out the experimental results. Moreover, a step-by-step execution of DM-TSP1 is detailed in order to prove its effectiveness.
  • The First Resolution of the Travelling Salesman Problem under Neutrosophic Octagonal Fuzzy Environment
    Neutrosophic Sets and Systems, 2025
  • Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib-Matrix-TP1 Method
    Souhail Dhouib, Aida Kharrat, Taicir Loukil, Habib Chabchoub
    Advances in Fuzzy Systems, 2025
  • Supply Chain Networks Optimization under Uncertain Environment with Dhouib-Matrix-TP1 heuristic
    Souhail Dhouib, Manel Kammoun, Saima Dhouib, Taicir Loukil
    Statistics Optimization and Information Computing, 2025
  • Original optimal method to solve the all-pairs shortest path problem: Dhouib-matrix-ALL-SPP
    Souhail Dhouib
    Data Science and Management, 2024
  • Implementation of Circle-Breaking Algorithm on Fermatean Neutrosophic Graph to discover Shortest Path
    Neutrosophic Sets and Systems, 2024
  • Decision support system using Dhouib-Matrix-TP1 heuristic for pentagonal fuzzy transportation problem
    Souhail Dhouib, Aïda Kharrat, Saima Dhouib, Tole Sutikno
    Indonesian Journal of Electrical Engineering and Computer Science, 2024
  • Innovative method to solve the minimum spanning tree problem: The Dhouib-Matrix-MSTP (DM-MSTP)
    Souhail Dhouib
    Results in Control and Optimization, 2024
  • Enhancing the Dhouib-Matrix-4 metaheuristic to generate the Pareto non-dominated set solutions for multi-objective travelling salesman problem: The DM4-PMO method
    Souhail Dhouib, Aïda Kharrat, Taicir Loukil, Habib Chabchoub
    Results in Control and Optimization, 2024
  • Faster than Dijkstra and A∗ Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4
    Souhail Dhouib
    Advances in Transdisciplinary Engineering, 2024
  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    Souhail Dhouib
    International Journal of Operational Research, 2024
  • Intelligent path planning for cognitive mobile robot based on Dhouib-Matrix-SPP method
    Souhail Dhouib
    Cognitive Robotics, 2024
  • Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method
    Souhail Dhouib
    Advances in Transdisciplinary Engineering, 2024
  • A Hybrid Optimization Approach for Efficient Hole Drilling Path Minimization
    Souhail Dhouib, Alaeddine Zouari
    Advances in Transdisciplinary Engineering, 2024
  • Application of the greedy Dhouib-matrix-TP1 method to optimize the transportation problem under triangular fuzzy domain
    Souhail Dhouib, Saima Dhouib, Aida Kharat
    Data Driven Modelling with Fuzzy Sets Embracing Uncertainty, 2024
  • Tool Path Length Optimization in Drilling Operations: A Comparative Study
    Alaeddine Zouari, Dhouib Souhail, Fatma Lehyani, José Carlos Sá
    Lecture Notes in Mechanical Engineering, 2024

RECENT SCHOLAR PUBLICATIONS

  • The application of DM-MSTP method on Tunisian financial market: 2024 case study
    S Dhouib, M Abdelhedi, S Ellouz, H Ezzine, H Chabchoub
    Frontiers in Artificial Intelligence 9, 1776919 , 2026
    2026
  • An innovative artificial intelligence method to optimize piping layout
    S Dhouib
    Discover Artificial Intelligence , 2026
    2026
  • Clustering cryptocurrencies market through the innovative DM-MSTP method
    S Dhouib, H Ezzine, M Abdelhedi, S Ellouz, H Chabchoub
    Frontiers in Blockchain 9, 1744921 , 2026
    2026
  • A computational time analysis of Dhouib-matrix-SPP versus particle swarm optimization metaheuristics for grid-based path planning
    S Dhouib, D Kallel, N Beji, S Dhouib
    Statistics, Optimization & Information Computing 15 (4), 2575-2586 , 2026
    2026
    Citations: 2
  • Financial Portfolio Innovation via the Dhouib‐Matrix‐3 Metaheuristic
    S Dhouib, H Ezzine, M Abdelhedi, S Ellouz, H Chabchoub
    Applied Computational Intelligence and Soft Computing 2026 (1), 8994950 , 2026
    2026
  • Optimizing the shortest and safety pathways in infectious disease context via the novel Dhouib‐matrix‐SPP method
    S Dhouib, H Chabchoub
    Applied Computational Intelligence and Soft Computing 2026 (1), 4490913 , 2026
    2026
    Citations: 2
  • Fuzzy Analytical Hierarchy Process to Optimize Supply Chain Processes in the Digital Age
    D Kallel, N Beji, S Dhouib
    Statistics, Optimization & Information Computing 15 (3), 2267-2285 , 2026
    2026
  • Fast Method for the Mobile Robot Path Planning Problem: The DM-SPP method
    S Dhouib
    Statistics, Optimization & Information Computing 15 (1), 516-528 , 2026
    2026
    Citations: 2
  • Minimizing the drilling robot arm movement by the advanced Dhouib-Matrix-4 metaheuristic
    S Dhouib
    Concurrent Engineering 33 (1-4), 26-38 , 2025
    2025
    Citations: 8
  • Supply Chain Networks Optimization under Uncertain Environment with Dhouib-Matrix-TP1 heuristic
    S Dhouib, M Kammoun, S Dhouib, T Loukil
    Statistics, Optimization & Information Computing 13 (4), 1505-1521 , 2025
    2025
    Citations: 2
  • Banking Service Quality as a Criterion for Customer Satisfaction–An Analytical Study on a Sample of Iraqi Banks Listed on the Iraq Stock Exchange
    SA Mohammed, S Dhouib
    INTERNATIONAL RESEARCH JOURNAL OF MULTIDISCIPLINARY SCOPE Учредители: Iquz … , 2025
    2025
  • Minimizing carbon dioxide emission with distance for Tunisian public transportation via the dhouib-matrix-4-PMO method
    S Dhouib, JJ Elmabrouk
    Edelweiss Applied Science and Technology 9 (7), 1920-1930 , 2025
    2025
    Citations: 1
  • Three-dimensional Euclidian Distance to Neutrosophic Number for Travelling Salesman Problem
    S Dhouib, S Dhouib, K Saritha, R Rajalakshmi, M Donganont, PK Raut
    Neutrosophic Sets and Systems 93 (1), 15 , 2025
    2025
  • The first resolution of the travelling salesman problem under neutrosophic octagonal fuzzy environment
    M Miledia, T Loukilb, S Dhouiba
    Neutrosophic Sets and Systems 79 (1), 16 , 2025
    2025
    Citations: 4
  • Optimizing the Hexagonal Fuzzy Transportation Problem With the Novel Dhouib‐Matrix‐TP1 Method
    S Dhouib, A Kharrat, T Loukil, H Chabchoub
    Advances in Fuzzy Systems 2025 (1), 3152445 , 2025
    2025
    Citations: 2
  • Unraveling the Intuitionistic Octagonal Fuzzy Travelling Salesman Problem via Dhouib-Matrix-TSP1 Heuristic
    S Dhouib, M Miledi, T Loukil
    Statistics, Optimization & Information Computing 13 (3), 1046-1062 , 2025
    2025
    Citations: 2
  • Innovative technique with enriched movement directions to plan the trajectory for an autonomous Mobile robot
    S Dhouib
    Science Progress 108 (1), 00368504251321714 , 2025
    2025
    Citations: 9
  • Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method
    S Dhouib
    Advances in Transdisciplinary Engineering 64 (10.3233/atde241272), 433-438 , 2024
    2024
  • A Hybrid Optimization Approach for Efficient Hole Drilling Path Minimization
    D Souhail, Z Alaeddine
    Advances in Transdisciplinary Engineering 64 (10.3233/atde241268), 398 - 404 , 2024
    2024
    Citations: 1
  • Implementation of Circle-Breaking Algorithm on Fermatean
    S krishna Prabha, S Broumi, S Dhouib, M Talea
    Neutrosophic Sets and Systems, vol. 72/2024: An International Journal in … , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of travelling salesman problem on single valued triangular neutrosophic number using dhouib-matrix-TSP1 heuristic
    S Dhouib
    International Journal of Engineering 34 (12), 2642-2647 , 2021
    2021
    Citations: 75
  • Solving the Single‐Valued Trapezoidal Neutrosophic Transportation Problems through the Novel Dhouib‐Matrix‐TP1 Heuristic
    S Dhouib
    Mathematical Problems in Engineering 2021 (1), 3945808 , 2021
    2021
    Citations: 48
  • Adaptive iterated stochastic metaheuristic to optimize holes drilling path in manufacturing industry: The Adaptive-Dhouib-Matrix-3 (A-DM3)
    S Dhouib, A Zouari
    Engineering Applications of Artificial Intelligence 120, 105898 , 2023
    2023
    Citations: 35
  • A new column-row method for traveling salesman problem: the dhouib-matrix-TSP1
    S Dhouib
    International Journal of Recent Engineering Science-IJRES 8 , 2021
    2021
    Citations: 32
  • An intelligent assignment problem using novel heuristic: The dhouib-matrix-ap1 (dm-ap1): Novel method for assignment problem
    S Dhouib
    International Journal of Intelligent Systems and Applications in Engineering … , 2022
    2022
    Citations: 31
  • Multi-start constructive heuristic through descriptive statistical metrics: the Dhouib-Matrix-4 metaheuristic
    S Dhouib
    International Journal of Operational Research 50 (2), 246-265 , 2024
    2024
    Citations: 30
  • An optimal method for the shortest path problem: the Dhouib-Matrix-SPP (DM-SPP)
    S Dhouib
    Results in Control and Optimization 12, 100269 , 2023
    2023
    Citations: 30
  • Solving the trapezoidal fuzzy transportation problems via new heuristic: the Dhouib-Matrix-TP1
    S Dhouib
    International Journal of Operations Research and Information Systems (IJORIS … , 2021
    2021
    Citations: 29
  • Single valued trapezoidal neutrosophic travelling salesman problem with novel greedy method: the Dhouib-Matrix-TSP1 (DM-TSP1)
    S Dhouib, S Broumi, M Lathamaheswari
    International Journal of Neutrosophic Science 17 (2), 144-157 , 2021
    2021
    Citations: 29
  • Dhouib-Matrix-TSP1 method to optimize octagonal fuzzy travelling salesman problem using α-cut technique
    M Miledi, S Dhouib, T Loukil
    International Journal of Computer and Information Technology (2279-0764) 10 (3) , 2021
    2021
    Citations: 28
  • Novel Metaheuristic Based on Iterated Constructive Stochastic Heuristic: Dhouib‐Matrix‐3 (DM3)
    S Dhouib
    Applied Computational Intelligence and Soft Computing 2021 (1), 7761993 , 2021
    2021
    Citations: 28
  • Innovative method to solve the minimum spanning tree problem: The Dhouib-Matrix-MSTP (DM-MSTP)
    S Dhouib
    Results in Control and Optimization 14, 100359 , 2024
    2024
    Citations: 26
  • Neutrosophic triangular fuzzy travelling salesman problem based on dhouib-matrix-TSP1 heuristic
    S Dhouib
    International Journal of Computer and Information Technology (2279-0764) 10 (5) , 2021
    2021
    Citations: 26
  • Minimizing the total distance for the supply chain problem using dhouib-matrix-TSP2 method
    S Dhouib
    International Journal of Advanced Research in Engineering and Technology 12 … , 2021
    2021
    Citations: 25
  • Optimising the non-productive time of robotic arm for drilling circular holes network patterns via the Dhouib-Matrix-3 metaheuristic
    S Dhouib, A Zouari
    International Journal of Mechatronics and Manufacturing Systems 16 (2-3 … , 2023
    2023
    Citations: 24
  • Stochastic column-row method for travelling salesman problem: the dhouib-matrix-TSP2
    S Dhouib
    International Journal of Engineering Research & Technology 10 (3), 524-527 , 2021
    2021
    Citations: 24
  • Novel optimization method for unbalanced assignment problems with multiple jobs: The Dhouib-Matrix-AP2
    S Dhouib
    Intelligent Systems with Applications 17, 200179 , 2023
    2023
    Citations: 22
  • A novel metaheuristic approach for drilling process planning optimization: Dhouib-Matrix-4 (DM4)
    S Dhouib, D Pezer
    International journal of artificial intelligence 20 (2), 80-92 , 2022
    2022
    Citations: 22
  • Shortest path planning via the rapid Dhouib-Matrix-SPP (DM-SPP) method for the autonomous mobile robot
    S Dhouib
    Results in Control and Optimization 13, 100299 , 2023
    2023
    Citations: 21
  • Increasing the performance of computer numerical control machine via the dhouib-matrix-4 metaheuristic: Metaheuristic for computer numerical control machine
    S Dhouib, D Pezer
    Inteligencia Artificial 26 (71), 142-152 , 2023
    2023
    Citations: 21

CONSULTANCY

 Experience in consulting for business organizations and industries
 Over than twenty years real-world industrial experiences in designing and developing business management software at different sectors ranging from Manufacturing, Electronic to Clothing Etc

Industry, Institute, or Organisation Collaboration

 Ancient Vice President at TORS (Tunisian Operations Research Society)
 Ancient Financial Director at ATID (Tunisian Association of Engineering Decision)
 Ancient member of the national Tunisian sector committee in management sciences

INDUSTRY EXPERIENCE

 Practical experience in managing company as General Manager
 ISMS (ISO 27001: Information Security Management System) certified lead auditor from TÜV Rheinland Group.
 QMS (ISO 9001: Quality Management System) certified lead auditor from TÜV Rheinland Group.

STARTUP

 Founder of two companies specialized in the field of development of business software

SOCIAL, ECONOMIC, or ACADEMIC BENEFITS

 Founder member of ATID (Tunisian Association of Engineering Decision) and TORS (Tunisian Operations Research Society) associations