Article
Engineering, Multidisciplinary
Emrullah Gazioglu, A. Sima Etaner-Uyar
Summary: This paper proposes a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method to tackle dynamic environments. By injecting the Bayesian Optimization Algorithm into the algorithm, a Bayes Network is created to exploit interactions between variables, resulting in efficient and faster solution for Dynamic Knapsack Problem.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Engineering, Multidisciplinary
Noha Hamza, Ruhul Sarker, Daryl Essam, Saber Elsayed
Summary: The number of research works on dynamic constrained optimization problems has been increasing rapidly over the past two decades. However, no research on dynamic problems with changes in the coefficients of the constraint functions has been reported. In this paper, a new evolutionary framework with multiple novel mechanisms is proposed to deal with such problems, and the results demonstrate its significant contribution in achieving good quality solutions, high feasibility rates, and fast convergence in rapidly changing environments.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
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
Automation & Control Systems
Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano
Summary: This article focuses on studying an online version of the emerging distributed constrained aggregative optimization framework for applications in cooperative robotics. Inspired by an existing scheme, a distributed algorithm named projected aggregative tracking is proposed to solve the online optimization problem. The article proves the bounded dynamic regret and linear convergence rate in the static case. Numerical examples also demonstrate the effectiveness of the approach in a robotic surveillance scenario.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang
Summary: Capturing the dynamics in user preference is crucial for predicting user future behaviors. Existing recommendation algorithms struggle to model both static and dynamic preferences. This paper proposes a method that translates a user's sequential behavior into their preference using dictionary learning and a deep autoregressive model. Experimental results show that the proposed method accurately captures the evolution of user preferences.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2022)
Article
Automation & Control Systems
Huan Zhang, Jinliang Ding, Min Jiang, Kay Chen Tan, Tianyou Chai
Summary: The study addresses the challenge of tracking the varying Pareto-optimal front in dynamic multiobjective optimization problems (DMOPs). Traditional approaches often estimate the Pareto-optimal sets in the decision space, but they may not necessarily satisfy the desired properties of decision makers in the objective space. The proposed inverse Gaussian process (IGP)-based approach shows better performance in terms of diversity and convergence in the objective space compared to other inverse model-based methods, making it more responsive to decision makers' demands in solving DMOPs.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Rishabh Dixit, Amrit Singh Bedi, Ketan Rajawat
Summary: This paper addresses the problem of tracking the minimum of a time-varying convex optimization problem over a dynamic graph, and proposes a distributed algorithm capable of handling nondifferentiable regularization penalties. Through analysis and testing, the algorithm shows good performance on the problem of distributed dynamic sparse recovery.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Computer Science, Software Engineering
Guanghui Lan, Zhiqiang Zhou
Summary: In this paper, a new dynamic stochastic approximation (DSA) algorithm is proposed for solving multi-stage stochastic optimization problems, achieving faster convergence under specific conditions. The algorithm only needs to traverse the scenario tree once to compute the solution of the multi-stage stochastic optimization problem, with memory requirements growing linearly with the number of stages.
MATHEMATICAL PROGRAMMING
(2021)
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
Green & Sustainable Science & Technology
Mohammad Kalantar, Seyed Morteza Zamir, Milad Ferdowsi, Seyed Abbas Shojaosadati
Summary: The study evaluated the removal of hydrophobic and hydrophilic VOCs in an up-flow two-liquid phase TBR with the presence of silicone oil as the NAP, achieving high removal efficiencies under various loading rates. The developed dynamic mathematical model provided insights into the mass transfer coefficients and microbial diversity shifts, highlighting the positive impact of NAP for sustainable application of TBR.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mechanics
Ross J. Stewart, Naveen Prakash
Summary: This study fills the gap in understanding the fragmentation of strengthened glass articles. It investigates glass plates with parabolic residual stress profiles, including deep chemically strengthened glass and tempered glass. The study introduces a parameter defining the onset of fragmentation susceptibility and an equation predicting the number of fragments per sheet area. This equation can be used to analyze experimental data and determine the frangibility limit and dynamic toughness, which are otherwise difficult to measure. Future research will explore the applicability of this theoretical framework to stress profiles of different shapes.
ENGINEERING FRACTURE MECHANICS
(2023)
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
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
Engineering, Chemical
Tayebeh Marzoughi, Fereshteh Samimi, Mohammad Reza Rahimpour
Summary: Gasification is an efficient technique for sustainable hydrogen production from biomass, and the choice of gasifying agent can affect the efficiency and environmental impact of the process. Different biomass materials show varying performance during the gasification process, with steam gasification of plastic producing the highest hydrogen yield and air gasification of paper generating the lowest. The environmental impacts of the process, in terms of CO2 emission, are also influenced by the type of biomass material and gasifying agent used.
CHEMICAL PRODUCT AND PROCESS MODELING
(2022)
Article
Engineering, Chemical
Tayebeh Marzoughi, Fereshteh Samimi, Mohammad Reza Rahimpour
Summary: The research focused on kinetic modeling of the reduction zone for hydrogen production from various biomass types and compared gasification agents to determine the best biomass and agent for highest hydrogen yield and lowest environmental contamination. Steam gasification of plastic was found to provide the highest hydrogen yield with rubber considered the most environmentally friendly biomass option.
CHEMICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Chemistry, Applied
Sheida Soltanimehr, Mohammad Reza Rahimpour, Alireza Shariati, Alireza Alipoor
Summary: The paper develops a mathematical model for a new autothermal reformer, which consists of a combustion section and a catalytic section. The model shows good agreement with industrial data and reveals the significant contribution of the initial O2/CH4 and H2O/CH4 ratios on the reformer performance.
TOPICS IN CATALYSIS
(2022)
Article
Chemistry, Applied
S. Dehghanpoor, M. H. Sedaghat, A. Bakhtyari, M. A. Makarem, M. R. Rahimpour
Summary: This study evaluates a new process for methanol production, which can enhance production and reduce CO2 emissions by converting CO2-rich off-gas.
TOPICS IN CATALYSIS
(2022)
Article
Chemistry, Applied
S. Zahedi, M. Farsi, M. R. Rahimpour
Summary: The research focuses on mathematical modeling and optimization of heavy naphtha reforming on commercial catalyst, revealing that light aromatics are produced faster and high paraffin conversion leads to an increase in octane number. The optimization process using genetic algorithm enhances the octane number of reformate from 95.62 to 96.69.
TOPICS IN CATALYSIS
(2021)
Article
Chemistry, Applied
Mahboubeh Parhoudeh, Farshad Farshchi Tabrizi, Mohammad Reza Rahimpour
Summary: This study investigates the feasibility of an auto-thermal chemical looping reforming (a-CLR) process in a network of large-scale packed-bed reactors using a dynamic mathematical model. The results show that the proposed a-CLR system can replace the large furnace in the conventional SMR process with a slight decrease in syngas yield. By optimizing the operation conditions, methane conversion and syngas yield can be significantly improved.
TOPICS IN CATALYSIS
(2022)
Article
Chemistry, Applied
Tayebe Roostaie, Mitra Abbaspour, Mohammad Amin Makarem, Mohammad Reza Rahimpour
Summary: Mesoporous gamma-alumina nanoparticles were synthesized using Morus alba leaves as a biotemplate through various treatment parameters. The nano alumina can be utilized as a catalyst, and its structure was analyzed using conventional techniques. The ammonia desorption and hydrogen reduction techniques were used to determine the acidity and reduction of the nano alumina sample.
TOPICS IN CATALYSIS
(2022)
Article
Chemistry, Physical
Parvin Kiani, Maryam Meshksar, Mohammad Reza Rahimpour
Summary: This study investigates the modification of Ni/SBA-16 catalyst with a lanthanum promoter for the conversion of biogas to syngas. The parameters of reaction temperature, lanthanum loading, and nickel loading are varied to maximize the reaction conversions. The presence of La2O3 particles on the catalyst's surface enhances dispersion and reduces particle size, leading to high conversion rates and stability.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Multidisciplinary
Maryam Meshksar, Fatemeh Salahi, Fatemeh Zarei-Jelyani, Mohammad Reza Rahimpour, Mohammad Farsi
Summary: This study focuses on controlling the morphology and crystalline phase of hollow Al2O3 spheres as a supporting material for Ni-based catalysts in high-temperature steam methane reforming process. Among the parameters investigated, the 20Ni/H-Al2O3 catalyst exhibited the highest CH4 conversion and H-2 yield at 700 degrees C, showing stable performance with low carbon deposition during the reaction.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2022)
Article
Chemistry, Inorganic & Nuclear
Zolfa Zokaee, Niyaz Mohammad Mahmoodi, Mohammad Reza Rahimpour, Alireza Shariati
Summary: In this study, a MIL-53(Al)@TiO2 photocatalyst with high photocatalytic performance under visible light was successfully fabricated using a solvothermal method. The composite showed improved photocatalytic activity compared to MIL-53(Al) and TiO2, thanks to the synthesis strategy adopted in the composite synthesis.
JOURNAL OF SOLID STATE CHEMISTRY
(2022)
Article
Chemistry, Applied
Abbas Ghareghashi, Hamidreza Bagheri, Sattar Ghader, Sasan Ghasemi, Mohammad Reza Rahimpour, Amir Sarrafi
Summary: This study investigates the increase in ethylene production through the oxidative coupling of methane (OCM) process and the oxidative dehydrogenation of ethane (ODHE) as a supplemental process in a consecutive reactor media. The proposed configuration improves operative conditions and enhances ethylene production in consecutive reactors. The study analyzes the effects of reactant ratio, temperature, and pressure on conversions, product yields, and selectivities. The results show that increasing the CH4/O2 ratio decreases ethylene yield, while increasing contact time improves ethane conversion rate.
TOPICS IN CATALYSIS
(2022)
Article
Energy & Fuels
Hafez Bajzadeh, Mohammad Reza Rahimpour, Mohammad Khorram, Saman Mohammadzadeh
Summary: In this study, a simulation was conducted to model an efficient process for direct CO2 hydrogenation to produce methanol using Ga3Ni5 catalyst. The results showed that the Ga3Ni5 catalyst had a conversion rate of carbon dioxide to methanol that was 13.75% higher compared to the traditional Cu/ZnO/Al2O3 catalyst. Therefore, this new catalyst has the potential to replace the traditional synthesis process.
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2023)
Article
Engineering, Environmental
Maryam Meshksar, Mohammad Farsi, Mohammad Reza Rahimpour
Summary: The research investigates the effect of Ni active site position and synthesis route on the performance of Ce promoted Ni/Al2O3 catalyst in the steam reforming of methane. The results show that the catalyst synthesized via co-precipitation method, specifically the 20Ni-1.5Ce/Al2O3 catalyst, exhibits the best performance in producing H-2-rich syngas with low CO2 contents.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2022)
Article
Engineering, Chemical
Donya Danesh, Mohammad Farsi, Mohammad Reza Rahimpour
Summary: This research focuses on heterogenous modeling of benzene alkylation in three phase reactors, coupling kinetic and equilibrium models and optimizing process conditions to enhance production capacity. By considering temperature of inlet streams as decision variables, the study successfully improved ethylbenzene production rate by optimizing system conditions.
CHEMICAL PRODUCT AND PROCESS MODELING
(2022)
Article
Engineering, Chemical
Fereshteh Samimi, Mehrzad Feilizadeh, Seyedeh Bahareh Najibi, Mohammad Arjmand, Mohammad Reza Rahimpour
Summary: A numerical model was used to study the conversion of CO2 to methanol in a typical plant, showing that employing a recycle stream can increase methanol production, but the presence of inert gases in the feedstock can significantly reduce methanol yield compared to the conventional route.
CHEMICAL PRODUCT AND PROCESS MODELING
(2021)