Article
Computer Science, Artificial Intelligence
Murat Erhan Cimen, Yaprak Yalcin
Summary: A novel hybrid optimization algorithm combining firefly and whale algorithms is proposed in this paper for determining optimal design parameters of model predictive control. Comparison analysis with other algorithms showed that the hybrid algorithm performs the best for approximately 67% of benchmark functions.
Review
Water Resources
Cagla Melisa Kaya, Leyla Derin
Summary: A correct understanding of parameters and methods used in flood susceptibility mapping (FSM) is crucial for identifying strengths and limitations of mapping approaches and developing methodologies. Scientific publications in the literature were examined using WoS in this study. The number of methods used is quite high (around 160 with submethods), but the number of parameters used varies, with a maximum of 21 and a minimum of 5 parameters preferred. While traditional statistical methods and multi-criteria decision-making (MCDM) methods are already widely used, recent studies have seen the emergence of machine learning and soft computing methods in FSM.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Computer Science, Artificial Intelligence
Hongjia Ren, Hongbo Ren, Zhongqi Sun
Summary: This paper proposes an improved Firefly Algorithm (HSFA) by using a hierarchy strategy to separate the firefly population into elite and non-elite groups and apply distinct attractive models for each group, leading to enhanced performance.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Navid Kardani, Abidhan Bardhan, Pijush Samui, Majidreza Nazem, Annan Zhou, Danial Jahed Armaghani
Summary: The study proposed novel computational approaches combining metaheuristic optimization algorithms with machine learning techniques to predict the thermal conductivity of unsaturated soils. Among the hybrid models developed, ELM-IFF showed the best predictive performance and can be used for rapid determination of thermal conductivity in the early stages of engineering projects.
ENGINEERING WITH COMPUTERS
(2022)
Review
Computer Science, Information Systems
Yiqi Xu, Qiongqiong Li, Xuan Xu, Jiafu Yang, Yong Chen
Summary: The research of mobile robot path planning has shifted from static to dynamic and from two-dimensional to high-dimensional environments. It has also transitioned from single-robot to multi-robot systems. Path-planning technology plays a crucial role in achieving autonomous positioning and navigation for mobile robots. Metaheuristic algorithms, such as the firefly algorithm (FA) and the cuckoo search algorithm (CS), have been widely used in mobile robot path planning due to their intelligence in solving complex optimization problems. This paper proposes a new algorithm classification based on a comprehensive analysis of existing path-planning algorithms and discusses future trends in mobile robot path planning.
Article
Green & Sustainable Science & Technology
Sakshi Tyagi, Pawan Kumar Singh, Arun Kumar Tiwari, Pritam Pain
Summary: The study developed two forms of hybrid solar cells by combining zinc oxide with carbon quantum dots, and incorporating graphene oxide into zinc oxide. Photovoltaic parameters of the hybrid solar cells were optimized, validated, and compared using the Artificial Neural Network technique, resulting in increased values of short circuit current, open-circuit voltage, and fill factor by adding carbon quantum dots to zinc oxide. The Artificial Neural Network trained model provided precise values for all stated parameters, indicating that the hybrid cells with carbon quantum dots are a better candidate.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Computer Science, Artificial Intelligence
Ravneil Nand, Bibhya Nand Sharma, Kaylash Chaudhary
Summary: Intelligent swarm algorithm FA has been widely researched and seen as an efficient optimization algorithm. A new modification introduces a stepping ahead parameter for proactive behavior. Hybrid algorithm combining modified FA with CMAES improves exploitation and maintains exploration.
APPLIED SOFT COMPUTING
(2021)
Article
Computer Science, Information Systems
Harsh Goud, Prakash Chandra Sharma, Kashif Nisar, Muhammad Reazul Haque, Ag Asri Ag Ibrahim, Narendra Singh Yadav, Pankaj Swarnkar, Manoj Gupta, Laxmi Chand
Summary: This article discusses the advantages of robots in the medical industry and their application in overcoming challenges. It also explores the application of meta-heuristics algorithms, specifically the Firefly Algorithm and Genetic Algorithm, to tune PID controllers for mobile robot systems. The simulation study shows that the PID controller tuned with the Firefly Algorithm is beneficial and suitable for achieving the desired closed-loop system response.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Review
Computer Science, Interdisciplinary Applications
Krishna Gopal Dhal, Arunita Das, Swarnajit Ray, Kaustav Sarkar, Jorge Galvez
Summary: This paper presents an up-to-date review on rough set based image clustering approaches with their merits and demerits, discussing the measures of similarity and evaluation criteria for rough clustering, and investigating key issues involved during the development of rough set based clustering models.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Dunia Sattar, Malik Shehadeh Braik
Summary: In this paper, the problem of parameter and order identification for fractional-order chaotic systems is transformed into a multidimensional optimization problem. Five latest metaheuristic methods are employed to solve the identification problem for six chaotic systems. The results show that the AFT method achieves higher accuracy and faster convergence for four selected systems, while the AGT optimizer obtains better numerical and graphical results for two systems compared to other methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Amir Seyyedabbasi, Royal Aliyev, Farzad Kiani, Murat Ugur Gulle, Hasan Basyildiz, Mohammed Ahmed Shah
Summary: This paper introduces three hybrid algorithms that combine reinforcement learning and metaheuristic methods to solve global optimization problems. The proposed algorithms show higher success rates and more balanced performance compared to classical metaheuristic approaches in finding new areas and during exploration and exploitation phases. The algorithms use reinforcement agents to select environments based on predefined actions and tasks, employing a reward and penalty system dynamically to discover the environment.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Shubham Mahajan, Laith Abualigah, Amit Kant Pandit, Mohammad Rustom Al Nasar, Hamzah Ali Alkhazaleh, Maryam Altalhi
Summary: The paper proposes a fusion method for global optimization tasks that can be applied to different problems. Through thorough testing and analysis, it is shown to have efficient performance.
Review
Multidisciplinary Sciences
Stephen Bassi Joseph, Emmanuel Gbenga Dada, Afeez Abidemi, David Opeoluwa Oyewola, Ban Mohammed Khammas
Summary: This paper provides a comprehensive review of modern and classical strategies for tuning PID controller parameters using metaheuristic algorithms. It also presents some open problems for future research.
Article
Energy & Fuels
G. Kanimozhi, Harish Kumar, N. Satyanarayana
Summary: In this study, a novel hybrid approach using the Lambert W-based double-diode model is proposed to optimize the intrinsic parameters of solar cells with three metaheuristic algorithms. The research found that the Lambert W-based sine-cosine algorithm outperformed the other two methods and showed promising potential for investigating photovoltaic performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Anik Goswami, Pradip Kumar Sadhu
Summary: Urbanization and population growth have increased per unit energy consumption, primarily from fossil fuel sources with adverse effects on the environment, leading to the development of hybrid electric vehicles. Fast charging stations play a crucial role in EV market penetration. The paper proposes a design for a fast charging solar hybrid EV charging station using stochastic models and a stochastic firefly algorithm to optimize solar power generation and increase station profitability.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Engineering, Multidisciplinary
Gamil Alsharahi, Mouncef Filali Bouami, Ahmed Faize, Mohamed Louzazni, Abdellatif Khamlichi, Mohamed Atounti
Summary: This study aims to analyze and detect the reasons for the collapse of a road in northern Morocco using simulation and ground-penetrating radar survey. The results show that the collapses are caused by cavities and fragile lands saturated with water. This research can be useful for future infrastructure projects to prevent risks.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Environmental Sciences
Brahim Belmahdi, Mohamed Louzazni, Abdelmajid El Bouardi
Summary: The paper proposes an algorithm to choose the optimal machine learning techniques and time series models to minimize forecasting errors, with a specific focus on solar radiation forecasting. The results indicated that the Feedforward neural network (FFNN) and ARIMA performed better and provided good approximations of the GSR output.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Thermodynamics
Sameer Al-Dahidi, Hani Muhsen, Ma'en S. Sari, Mohammad Alrbai, Mohamed Louzazni, Nahed Omran
Summary: This paper proposes an adaptive approach-based ensemble for 1-day ahead production prediction of solar Photovoltaic (PV) systems, and verifies its accuracy and effectiveness through a real case study.
ADVANCES IN MECHANICAL ENGINEERING
(2022)
Article
Chemistry, Physical
Manoharan Madhiarasan, Mohamed Louzazni
Summary: This paper proposes a new CLSTMN-based solar irradiance prediction model that improves the prediction accuracy and generalization by introducing different influencing meteorological parameters as inputs. Experimental results show that the model has good performance in solar irradiance prediction.
INTERNATIONAL JOURNAL OF PHOTOENERGY
(2022)
Review
Thermodynamics
D. T. Cotfas, P. A. Cotfas, S. Mahmoudinezhad, M. Louzazni
Summary: This paper reviews the application of photovoltaic cells and thermoelectric modules in hybrid systems, discussing critical factors, design parameters, and the integration of photovoltaic modules in urban landscapes. It also explores the performance of the hybrid system under boundary conditions caused by solar irradiation, temperature, and cooling technologies. The thermal effects of the thermoelectric modules on photovoltaic cells and electric connections are analyzed, along with thermal interface materials, thermomechanical stability, and maximum power point tracking techniques.
APPLIED THERMAL ENGINEERING
(2022)
Article
Chemistry, Analytical
Hesham Alhumade, Hegazy Rezk, Mohamed Louzazni, Iqbal Ahmed Moujdin, Saad Al-Shahrani
Summary: To address the slow response of a PEMFC to high load change, integrating the hybrid system with energy storage devices like battery storage and/or a supercapacitor is necessary. An energy management strategy (EMS) based on the white shark optimizer (WSO) has been developed for a photovoltaic/PEMFC/lithium-ion batteries/supercapacitors microgrid, aiming to minimize hydrogen consumption while ensuring optimal performance of each energy source. The proposed EMS-based-WSO outperforms other EMSs in terms of reduced hydrogen utilization and improved efficiency compared to state machine control strategy (SMCS), classical external energy maximization strategy (EEMS), and optimized EEMS-based particle swarm optimization (PSO).
Article
Green & Sustainable Science & Technology
Hani Al-Rawashdeh, Omar Ali Al-Khashman, Jehad T. Al Bdour, Mohamed R. Gomaa, Hegazy Rezk, Abdullah Marashli, Laith M. Arrfou, Mohamed Louzazni
Summary: This paper presents a study on a hybrid renewable energy system (HRES) that can convert a building into a green building and reduce its dependence on conventional energy. By utilizing the HOMER grid software, the optimal configuration was determined with a total net present cost of USD 1.16 million, energy cost of USD 0.0415/kWh, effective internal rate of return of 15.8%, and an approximately 77% reduction in carbon emissions compared to the base case.
Article
Computer Science, Information Systems
Manoharan Madhiarasan, Mohamed Louzazni, Brahim Belmahdi
Summary: This paper proposes a novel global solar irradiance forecasting model based on ensemble recursive radial basis function neural networks (ERRBFNNs). The model improves the accuracy, generalization, and network stability of global solar irradiance forecasting, and reduces the forecasting error compared to other state-of-the-art models.
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING
(2023)
Article
Energy & Fuels
Hani Al-Rawashdeh, Omar Ali Al-Khashman, Laith M. Arrfou, Mohamed R. Gomaa, Hegazy Rezk, Mohammad Shalby, Jehad T. Al Bdour, Mohamed Louzazni
Summary: This paper designs a new hybrid renewable energy system (HRES) using solar photovoltaics (PVs), batteries, an inverter, and a 100 kW diesel generator (DG) to power the irrigation of a remote farm in Al-Jafr, Jordan. The results show significant reductions in energy cost and carbon emissions compared to the DG-only system. It is concluded that HRES successfully reduces energy cost, fuel consumption, emissions, and overall cost for remote areas.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Multidisciplinary Sciences
Brahim Belmahdi, Mohamed Louzazni, Mousa Marzband, Abdelmajid El Bouardi
Summary: The adequate modeling and estimation of solar radiation is crucial for designing solar energy applications. Various computational algorithms have been developed to improve the efficiency of predicting solar radiation. This research compares and forecasts daily global solar radiation in two Moroccan cities using five different approaches. The hybrid ARIMA-FFBP and hybrid ARMA-FFBP techniques are found to be more effective, based on their improved correlation coefficient (R-2).
Article
Mathematics, Interdisciplinary Applications
Mohammed Tadj, Lakhdar Chaib, Abdelghani Choucha, Al-Motasem Aldaoudeyeh, Ahmed Fathy, Hegazy Rezk, Mohamed Louzazni, Attia El-Fergany
Summary: This paper proposes a controller using a FOPID controller to track the maximum power point of a photovoltaic system. The FOPID-MPPT method is an extension of the conventional PID controller and offers more flexibility and dynamical tuning. The paper optimizes the FOPID-MPPT parameters using the Aquila optimizer and demonstrates its superior performance compared to other methods.
MATHEMATICAL AND COMPUTATIONAL APPLICATIONS
(2023)
Proceedings Paper
Green & Sustainable Science & Technology
Francesco Grimaccia, Marco Mussetta, Alessandro Niccolai, Venkataramana Veeramsetty, Dongari Rakesh Chandra
Summary: Electric load forecasting is crucial for Distribution System Operators (DSOs) to deal with the increasing penetration of renewable energy sources (RES). In this study, the combined use of Recurrent Neural Networks and Principal Component Analysis techniques is validated to ensure the forecasting capability of electrical loads.
2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Naciri Bensaghir Ali, Khalid Amechnoue
Summary: This paper proposes a dynamic risk analysis approach for airport runway incursions based on Fuzzy Bayesian Network. The bow-tie model is used to categorize hazards and display the progress of a RISC scenario, and the structure of the Bayesian network is mapped accordingly. The method can dynamically characterize the changes in probabilities and consequences of a RISC, and uses expert judgment and fuzzy set theory to estimate the prior and conditional probabilities of the Bayesian network nodes with limited data.
ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 2
(2022)
Proceedings Paper
Engineering, Industrial
Mohamed Louzazni, Brahim Belmahdi
Summary: This paper presents a set of approximate analytical solutions for solar cells and the I-V curve. The proposed technique only requires data from solar cell characteristics, and its accuracy has been verified through experiments.
15TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Mohamed Louzazni, Brahim Belmahdi
Summary: This paper focuses on the mathematical modelling and behavior of thin-film a-Si:H solar cells, discussing the double linearities in the I-V curve parameters and the impact of parameters on cell performance under different solar irradiations. The addition of an extra diode for a more thorough investigation of degradation processes is proposed.
2021 INTERNATIONAL CONFERENCE ON DECISION AID SCIENCES AND APPLICATION (DASA)
(2021)
