Article
Chemistry, Multidisciplinary
Grzegorz Kusztelak, Adam Lipowski, Jacek Kucharski
Summary: This paper presents a modified memetic genetic algorithm that introduces a cyclic symmetrization operator to improve exploitation by creating a more spherical distribution around the current leader. The algorithm is described, demonstrated, and theoretically analyzed. Its effectiveness is examined using a recognized benchmark of continuous functions test set on a multidimensional cube.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Giovanni Acampora, Angela Chiatto, Autilia Vitiello
Summary: This paper discusses the application of quantum computing in optimization problems and proposes the use of genetic algorithms as gradient-free methods to optimize the parameters of Quantum Approximate Optimization Algorithm (QAOA) circuit. Experimental results on noisy quantum devices solving MaxCut problem show that the genetic algorithm outperforms other gradient-free optimizers in terms of approximation ratio.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Jingxiao Liu, Haibing Li, Sile Ma, Jiangang Luo, Bibo Fu, Feng Zhang
Summary: The study proposes a method based on genetic algorithm to calibrate internal and external DVL errors simultaneously, solving the problem of asynchronous SINS and DVL sampling. It can achieve high accuracy data and reduce the practical difficulty of installation.
IEEE SENSORS JOURNAL
(2022)
Article
Energy & Fuels
Xunzhao Yu, Ling Zhu, Yan Wang, Dimitar Filev, Xin Yao
Summary: Engine calibration is the process of optimizing engine settings to achieve optimal performance, including minimal fuel consumption, emissions, and maximum power output. With the advancement of technology, modern engines have more adjustable parameters, making the calibration task more complicated. This survey reviews the state-of-the-art applications of optimization approaches in different types of internal combustion engines, covering gasoline, diesel, and hybrid engines.
Article
Computer Science, Interdisciplinary Applications
Nikolaos A. Fountas, Nikolaos M. Vaxevanidis
Summary: The study introduces the virus evolutionary genetic algorithm (MOVEGA) developed and implemented to solve multi-objective optimization problems related to fused deposition modeling. Through experimental design, analysis of process parameters, and comparison of optimization algorithms, it is shown that MOVEGA exhibits superior performance and potential for intelligent optimization control on IoT platforms.
COMPUTERS IN INDUSTRY
(2021)
Article
Computer Science, Artificial Intelligence
Ashraf Mohamed Hemeida, Omaima M. Bakry, Al-Attar A. Mohamed, Eman A. Mahmoud
Summary: This paper discusses the combination of Genetic Algorithms and Stain Bowerbird Optimization algorithms to create a new hybrid technique GASBO. The GASBO is an optimization approach used to categorize and optimize renewable energy assets in energy generation complexes, emphasizing the impact of environmental factors and source positioning on energy outcomes.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Geological
Francisco Jose Mendez, Antonio Pasculli, Miguel Alfonso Mendez, Nicola Sciarra
Summary: This article introduces an optimization framework based on genetic algorithms to calibrate the constitutive law of von Wolffersdorff, improving the accuracy of the Sand Hypoplasticity model. By combining the GA with a numerical solver, the complex calibration involving eight parameters can be automatically fitted, allowing for uncertainty quantification and analysis of parameter importance. Testing on synthetic and experimental data shows improved model prediction and calibration.
Article
Mathematics
Jorge Pereira, Jerome Mendes, Jorge S. S. Junior, Carlos Viegas, Joao Ruivo Paulo
Summary: This study conducted a literature review on optimization methodologies for wildfire spread prediction based on the use of evolutionary algorithms for input parameter set calibration. The current literature on wildfire spread prediction calibration is mostly focused on methodologies based on genetic algorithms.
Article
Computer Science, Information Systems
Gianni D'Angelo, Francesco Palmieri
Summary: Genetic algorithms have shown effectiveness in solving real-world optimization problems, especially when combined with gradient-descent technique. The hybrid algorithm proposed in this work aims to improve the efficiency of GAs in finding global optimal solutions by utilizing the gradient-descent capability for local searching. Experimental results demonstrate competitiveness in solution precision and resource efficiency compared to other complex approaches.
INFORMATION SCIENCES
(2021)
Article
Automation & Control Systems
Juliette Gamot, Mathieu Balesdent, Arnault Tremolet, Romain Wuilbercq, Nouredine Melab, El-Ghazali Talbi
Summary: This paper presents an extended formulation of the optimal layout problem for complex systems, such as aerospace vehicles. A genetic algorithm enhanced by an adapted hidden-variables mechanism is proposed to tackle this NP-hard problem. The proposed mechanism is validated on a toy case and an aerospace application case representative to real world complexity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin
Summary: Researchers propose an intelligent genetic locus selection algorithm, integrating Cross Information Synergistic Attention (CISA) model and n-step proximal policy optimization (PPO), to intelligently select influential genetic loci for crossover in genetic algorithms (GAs). The algorithm is validated on various combinatorial optimization problems (COPs) and outperforms other methods in terms of solution quality, convergence speed, and generalization.
APPLIED SOFT COMPUTING
(2023)
Article
Mathematics
Gonzalo A. Aranda-Corral, Miguel A. Rodriguez, Inaki Fernandez de Viana, Maria Isabel G. Arenas
Summary: There has been a growing interest in resource sharing systems to support sustainability, where the optimization of these systems is an NP-Hard problem due to its combinatorial nature. This study focuses on obtaining past usage data of bike loan networks to optimize station capacity distribution using evolutionary algorithms. The proposed approach considers the cost of non-used bike places and additional kilometers users would have to travel in the new distribution, improving user satisfaction by inferring user behavior trends.
Article
Computer Science, Artificial Intelligence
Carlos Guerrero, Isaac Lera, Carlos Juiz
Summary: Fog computing, as a new computational paradigm, has emerged to reduce network usage and latency in the IoT. This paper provides a comprehensive review of recent research works on genetic-based fog resource optimization. The authors propose a taxonomy for optimizing fog infrastructures and classify 70 papers accordingly. They evaluate the papers based on their genetic optimization design and outline the benefits and limitations of each work. The study concludes that more research efforts are needed to address current challenges and improve the design and deployment of genetic algorithms in fog domains.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Energy & Fuels
A. Tapia, A. R. del Nozal, D. G. Reina, P. Millan
Summary: This study developed a new tool for designing the layout of micro hydro-power plants, which optimizes the installation layout using a Genetic Algorithm to explicitly consider various requirements and constraints, including power supply, installation cost, available water flow, and terrain profile. The algorithm was applied to a real scenario in a remote community in Honduras, achieving good results in terms of generation capacity and cost reduction.
Article
Chemistry, Multidisciplinary
Rahul Dubey, Sushil J. Louis
Summary: Advancements in UAVs have enabled them to act as flying access points that create interconnected wireless networks in complex environments. This paper addresses the challenging problem of optimal UAV placement for creating ad hoc wireless networks, considering communication range, unknown users' distribution, and user bandwidth requirements. The proposed algorithm, utilizing genetic-algorithm-optimized potential fields, outperformed the state of the art by 5.62% to 121.73% in terms of network performance.
APPLIED SCIENCES-BASEL
(2023)
Article
Pharmacology & Pharmacy
Zahra Tamiji, Maryam Salahinejad, Ali Niazi
CURRENT PHARMACEUTICAL ANALYSIS
(2020)
Article
Chemistry, Medicinal
Fatemeh Ansari, Jahan B. Ghasemi, Ali Niazi
MEDICINAL CHEMISTRY
(2020)
Article
Chemistry, Analytical
Vahid Hamedpour, Paolo Oliveri, Riccardo Leardi, Daniel Citterio
ANALYTICA CHIMICA ACTA
(2020)
Article
Chemistry, Analytical
Faezeh Amri, Ali Niazi, Atisa Yazdanipour
Summary: This study introduces an analytical procedure for determining diazinon, malathion and chlorpyrifos in tomato samples using a pressure variation in-syringe dispersive liquid-phase microextraction method coupled with gas chromatography-mass spectrometry. The proposed method utilizes chloroform as the extraction solvent and employs experimental design methods. The calibration curves are linear and the determination coefficients are high for all three pesticides. The method also demonstrates good precision and low detection limits.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL ANALYTICAL CHEMISTRY
(2022)
Article
Chemistry, Analytical
Hamed Sahebi, Elaheh Konoz, Ali Ezabadi, Ali Niazi, Seyyed Hamid Ahmadi
MICROCHEMICAL JOURNAL
(2020)
Article
Environmental Sciences
Antonino Spanu, Massimiliano Valente, Ilaria Langasco, Riccardo Leardi, Anna Maria Orlandoni, Marco Ciulu, Mario Antonello Deroma, Nadia Spano, Francesco Barracu, Maria I. Pilo, Gavino Sanna
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Health Care Sciences & Services
Barbara Marengo, Alessandra Pulliero, Maria Valeria Corrias, Riccardo Leardi, Emanuele Farinini, Gilberto Fronza, Paola Menichini, Paola Monti, Lorenzo Monteleone, Giulia Elda Valenti, Andrea Speciale, Patrizia Perri, Francesca Madia, Alberto Izzotti, Cinzia Domenicotti
Summary: The study found that the expression of specific miRNAs in neuroblastoma cells is associated with chemoresistance, with miRNA-15a, -16-1, -19b, -218, and -338 down-regulated in cells resistant to Etoposide. Additionally, the research suggests that these miRNAs may influence metastasis and have higher expression levels in therapy responders.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Biochemistry & Molecular Biology
Lorenzo Monteleone, Andrea Speciale, Giulia Elda Valenti, Nicola Traverso, Silvia Ravera, Ombretta Garbarino, Riccardo Leardi, Emanuele Farinini, Antonella Roveri, Fulvio Ursini, Claudia Cantoni, Maria Adelaide Pronzato, Umberto Maria Marinari, Barbara Marengo, Cinzia Domenicotti
Summary: Cancer stem cells (CSCs) play a crucial role in chemoresistance due to their high antioxidant defenses. This study found that combined treatment with Etoposide, Sulfasalazine, or an inhibitor of PKC alpha can sensitize CSCs to Etoposide by reducing their antioxidant defenses and inducing ferroptosis. The results suggest that PKC alpha inhibition inducing ferroptosis may be a promising strategy to combat CSC chemoresistance.
Article
Chemistry, Applied
Maryam Kazemi, Ali Niazi, Atisa Yazdanipour
Summary: The study compared the efficiency of ultrasound-assisted extraction and microwave-assisted extraction for obtaining essential oils from Satureja rechingeri, and optimized the extraction parameters using response surface methodology. The results showed that both methods achieved high extraction yields of essential oils from S. rechingeri, with no significant difference between predicted and experimental data, indicating the models were highly capable of predicting extraction outcomes.
JOURNAL OF ESSENTIAL OIL RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Elena Bellizia, Davide Tognin, Jacopo Boaga, Giorgio Cassiani, Riccardo Leardi, Alvise Finotello, Andrea D'Alpaos, Massimiliano Ghinassi
Summary: This study proposes a multidisciplinary approach to investigate the architecture of point-bar bodies in the Venetian Plain, Italy, by analyzing geophysical and sedimentological data. The results show that point-bar deposits mainly consist of fine to coarse sand and have lower electromagnetic conductivity compared to surrounding muddy overbank deposits.
JOURNAL OF THE GEOLOGICAL SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Sara Khodadadi, Elaheh Konoz, Ali Ezabadi, Ali Niazi
Summary: A new sensitive and rapid method was developed in this study for the extraction and determination of trace amounts of Pb(II) and Cd(II) ions in milk samples through magnetic solid-phase extraction. The method optimized experimental parameters for simultaneous extraction and pre-concentration of Pb(II) and Cd(II) ions, with good performance in terms of detection limits and relative standard deviation values.
JOURNAL OF THE MEXICAN CHEMICAL SOCIETY
(2021)
Article
Sport Sciences
Fabio Forni, Emanuele Farinini, Riccardo Leardi, Andrea Rinaldo
Summary: This study investigates the impact of age and athletic level on reaction time development in young children and tennis players, as well as the potential improvement of motor performance through visual training using FitLight Trainer. The results demonstrate that reaction time development is primarily influenced by age and growth in athletes, while the visual training protocol using FitLight Trainer can enhance reaction time and motor performance in young tennis players, particularly those under 10 years old.
JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
(2022)
Article
Biochemistry & Molecular Biology
Andrea Mara, Sara Deidda, Marco Caredda, Marco Ciulu, Mario Deroma, Emanuele Farinini, Ignazio Floris, Ilaria Langasco, Riccardo Leardi, Maria Pilo, Nadia Spano, Gavino Sanna
Summary: This study measured the concentration of trace and toxic elements in four unifloral honeys from Sardinia, Italy. The results showed that the concentration of analytes was low and toxic elements were present in negligible amounts. The study also found that the elemental signatures of honeys from different plants had geographical differentiation, and proposed a chemometric analysis method for botanical discrimination of honeys.
Article
Biochemistry & Molecular Biology
Federica Turrini, Emanuele Farinini, Riccardo Leardi, Federica Grasso, Valentina Orlandi, Raffaella Boggia
Summary: This study investigates the color stability of basil-based semi-finished products and proposes a fast method based on spectral analysis. The results show that blast chilling and the use of ascorbic acid are the best solutions for preserving the color stability of the products.
Article
Chemistry, Applied
Masoomeh Naseri, Ali Niazi, Kowsar Bagherzadeh, Elahe Konoz, Hamid Reza Samadikhah
Summary: An ultrasensitive electrochemical aptasensor based on modified glassy carbon electrode was developed to detect tetracycline in food samples. Molecular docking and molecular dynamic simulations were used to study the affinity and stability of antibiotics-aptamers complexes. The aptasensor, using kanamycin-specific aptamer, achieved a wide dynamic linear range and low limit of detection for tetracycline in milk samples.
