Article
Computer Science, Artificial Intelligence
Yupeng Han, Hu Peng, Changrong Mei, Lianglin Cao, Changshou Deng, Hui Wang, Zhijian Wu
Summary: This paper proposes a new multistrategy multiobjective differential evolutionary algorithm, RLMMDE, to solve the exploration and exploitation dilemma in multiobjective optimization problems (MOPs). The algorithm utilizes a multistrategy and multicrossover DE optimizer, an adaptive reference point activation mechanism based on RL, and a reference point adaptation method. Experimental results show that RLMMDE outperforms some advanced MOEAs on benchmark test suites and practical mixed-variable optimization problems.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Rongjuan Luo, Shoufeng Ji, Tingting Ji
Summary: This paper focuses on a special multi-objective unbalanced transportation problem considering fuel consumption, establishes a mathematical model and proposes a solution method. Numerical results and comparisons on 100 random instances and a real-life case study validate the effectiveness and practical value of the proposed method.
APPLIED SOFT COMPUTING
(2021)
Article
Automation & Control Systems
S. Brindha, S. Miruna Joe Amali
Summary: This article presents an improved Multi-objective Differential Evolution based algorithm named FAMDE-DC, which utilizes fuzzy system to control population diversity and identifies potential candidates in decision and objective spaces, achieving true Pareto-optimal solutions. The algorithm exhibits good performance and does not require manual parameter tuning.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2021)
Article
Multidisciplinary Sciences
Mingwei Fan, Jianhong Chen, Zuanjia Xie, Haibin Ouyang, Steven Li, Liqun Gao
Summary: In this paper, an improved multi-objective differential evolution algorithm (MOEA/D/DEM) based on a decomposition strategy is proposed to enhance the search performance for practical multi-objective nutrition decision problems. The algorithm utilizes a neighborhood intimacy factor and a new Gaussian mutation strategy to improve diversity and local search ability. Experimental results show that the proposed algorithm achieves better search capability and obtains competitive results compared to other multi-objective algorithms.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Peng Wang, Bing Xue, Jing Liang, Mengjie Zhang
Summary: By identifying relevant features, feature selection methods can maintain or improve classification accuracy and reduce dimensionality. This paper proposes a diversity-based multi-objective differential evolution approach to effectively handle the trade-offs between convergence and diversity. The method detects and removes irrelevant and weakly relevant features to reduce the search space and proposes a new binary mutation operator to produce better feature subsets. Experimental results show that the proposed method outperforms current popular multi-objective feature selection methods on 14 datasets with varying difficulty.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Vibhu Trivedi, Manojkumar Ramteke
Summary: A new hybrid variant of multi-objective differential evolution algorithm is developed in this study, which combines the abilities of DE/rand/1 strategy and adaptive social evolution algorithm to improve convergence speed and effectiveness. The algorithm outperforms other established algorithms in solving computationally intensive multi-objective optimization problems, showing better convergence with a relatively simple structure and no additional computational cost needed.
APPLIED SOFT COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Ying Hou, YiLin Wu, Zheng Liu, HongGui Han, Pu Wang
Summary: The DMODE-IEP algorithm improves optimization performance through dynamic adjustment based on evolution progress information. The convergence of the algorithm is proved using probability theory, and testing results demonstrate its superiority in optimization effectiveness compared to other multi-objective optimization algorithms.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2021)
Article
Automation & Control Systems
Vikas Palakonda, Jae-Mo Kang
Summary: This article proposes a preference-inspired differential evolution algorithm for multi and many-objective optimization, which effectively deals with a wide range of problems. The algorithm generates individuals with good convergence and distribution properties by utilizing a preference-inspired mutation operator and determining local knee points based on a clustering method. Experimental results demonstrate its superior performance compared to eight state-of-the-art algorithms on 35 benchmark problems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Multidisciplinary Sciences
Aadil Bashir, Qamar Abbas, Khalid Mahmood, Sultan Alfarhood, Mejdl Safran, Imran Ashraf
Summary: Differential evolution (DE) is a simple yet powerful evolutionary algorithm used for real-world problem solving. This research proposes a solution that utilizes sub-populations to promote population diversity and improve algorithm performance. Experimental outcomes demonstrate the superiority of the proposed method over existing algorithms.
Article
Engineering, Chemical
Fernanda Falqueto Salvador, Guilherme Guimaraes Ascendino, Erica Victor de Faria, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: This study investigated the influence of geometric variables on the separation performance of a filtering cylindrical hydrocyclone (FCyH). The main difference observed between FCyH and conventional hydrocyclones was in the Euler number. An optimization study using the Differential Evolution Algorithm was carried out to find two categories of hydrocyclones, resulting in a hydrocyclone with total efficiency 8.1% higher than the equipment with the highest efficiency.
Article
Computer Science, Artificial Intelligence
Hafiz Tayyab Rauf, Jiechao Gao, Ahmad Almadhor, Ali Haider, Yu-Dong Zhang, Fadi Al-Turjman
Summary: A novel variant of differential evolution called MPC-DE is proposed to solve multi-model and multi-objective optimization problems. It utilizes multiple selection strategies and chaotic mapping methods for population initialization and mutation. The performance of MPC-DE is evaluated on benchmark problems and compared with recent DE variants, showing superior results for multi-objective optimization problems and the economic load dispatch problem.
APPLIED SOFT COMPUTING
(2023)
Article
Green & Sustainable Science & Technology
Peng Sun, Teng Yun, Zhe Chen
Summary: The close interaction between biomass waste disposal energy supply and multi-energy systems is proposed in a MEMG framework, with a focus on flexible regulation and optimization to minimize costs and maximize waste disposal.
Article
Computer Science, Artificial Intelligence
Carlos Eduardo da Silva Santos, Renato Coral Sampaio, Leandro dos Santos Coelho, Guillermo Alvarez Bestard, Carlos Humberto Llanos
Summary: The study introduces a multiobjective metaheuristic, APMT-MODE, for addressing the parameters selection problem in SVM and SVR, which is capable of providing more accurate and straightforward solutions under simple kernel functions and has been successfully applied in a real case study.
PATTERN RECOGNITION
(2021)
Article
Computer Science, Artificial Intelligence
Naveen Saini, Diksha Bansal, Sriparna Saha, Pushpak Bhattacharyya
Summary: In this study, the Search Results Clustering problem is treated as a multi-view clustering problem and solved through optimization. Various views based on syntactic and semantic similarity measures are considered, with three new views incorporated in the framework. Experimental results show that the proposed approach outperforms existing techniques.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Naveen Saini, Diksha Bansal, Sriparna Saha, Pushpak Bhattacharyya
Summary: Search Results Clustering problem is addressed as a multi-view clustering problem in this study, where optimization and new views are introduced to improve the clustering process. The proposed approach shows superior performance compared to state-of-the-art techniques.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Energy & Fuels
Franz Berbert Ferreira, Gregori Ullmann, Luiz Gustavo Martins Vieira, Vicelma Luiz Cardoso, Miria Hespanhol Miranda Reis
CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION
(2020)
Article
Green & Sustainable Science & Technology
Daiane Ribeiro Dias, Gregori Ullmann, Danylo de Oliveira Silva, Luiz Gustavo Martins Vieira
Summary: The study proposed and investigated a low-cost, sustainable air conditioning system utilizing warm, dry air and the psychrometric effect to achieve cooling. Numerical results showed that the system can provide significant temperature reduction in warm, dry conditions, with energy savings compared to conventional air conditioning systems.
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY
(2021)
Article
Chemistry, Applied
Henrique Coutinho de Barcelos Costa, Erica Sayuri Siguemoto, Tiago Augusto Bulhoes Bezerra Cavalcante, Danylo de Oliveira Silva, Luiz Gustavo Martins Vieira, Jorge Andrey Wilhelms Gut
Summary: Microwave heating is a promising technology for continuous flow thermal processing of fluid foods due to better quality retention. Inactivation kinetics of POD and PPO in acai-berry pulp varied under different heating technologies, with microwave showing specific effects on protein structure. Additionally, dielectric properties of acai-berry pulp changed with temperature at different frequencies.
Article
Engineering, Chemical
Fernanda Falqueto Salvador, Guilherme Guimaraes Ascendino, Erica Victor de Faria, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: This study investigated the influence of geometric variables on the separation performance of a filtering cylindrical hydrocyclone (FCyH). The main difference observed between FCyH and conventional hydrocyclones was in the Euler number. An optimization study using the Differential Evolution Algorithm was carried out to find two categories of hydrocyclones, resulting in a hydrocyclone with total efficiency 8.1% higher than the equipment with the highest efficiency.
Article
Agricultural Engineering
Raissa Aparecida da Silveira Rossi, Janaina Miranda Barbosa, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: This study explores the production of hydrogen and bio-oil from renewable sources, specifically using microalgae in catalytic pyrolysis under a hydrogen atmosphere. By combining alkaline electrolysis for hydrogen production with catalytic hydropyrolysis for bio-oil production, under optimal conditions a bio-oil yield of 48.83% with a hydrocarbon content of 37% was achieved.
BIOMASS & BIOENERGY
(2021)
Article
Thermodynamics
J. M. Barbosa, R. A. S. Rossi, L. A. Andrade, M. A. S. Barrozo, L. G. M. Vieira
Summary: The use of renewable energy sources in the pyrolysis process for bio-oil production, specifically with a Mg-Al mixed oxides catalyst derived from hydrotalcite, has shown promising results in improving the quality and content of bio-oil. The study also found that reusing the catalyst did not significantly impact the hydrocarbon content of bio-oil, with stable results observed after multiple pyrolysis cycles.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Raissa Aparecida da Silveira Rossi, Janaina Miranda Barbosa, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: The study investigates the production of bio-oil using solar assisted catalytic hydropyrolysis process. Results show that this technique can achieve higher liquid yields with lower content of oxygenated compounds. There are some differences in the effects of the two different processes, providing important insights for further research into this process.
Article
Engineering, Chemical
Erica Victor de Faria, Fernanda Falqueto Salvador, Guilherme Guimaraes Ascendino, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: In this study, an optimization study was conducted on a filtering hydrocyclone using Differential Evolution algorithm to achieve thickening purposes with low energy consumption. The results showed significant improvements in the split ratio and Euler number for the optimized design of the filtering hydrocyclone.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2022)
Article
Engineering, Mechanical
Rodolfo Sapata Gonzalez, Raissa Aparecida da Silveira Rossi, Luiz Gustavo Martins Vieira
Summary: With the advancement of process industries, there has been an increase in process safety accidents in Brazil, which have caused significant damages to lives, properties, communities, the environment, and the economy. This study aims to quantify the economic and financial consequences of three different process safety accidents and highlights Brazil's vulnerability in terms of process safety control and product storage.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Engineering, Chemical
Henrique Coutinho de Barcelos Costa, Tiago Augusto Bulhoes Bezerra Cavalcante, Jorge Andrey Wilhelms Gut, Danylo de Oliveira Silva, Luiz Gustavo Martins Vieira
Summary: This study evaluated the thermal inactivation of peroxidase and polyphenol oxidase in acai-berry pulp during continuous pasteurization using plate heat exchangers (PHEs). Experimental treatments were simulated by CFD and numerical results were compared with experimental data, showing better performance in a series flow arrangement. However, reasonable deviations between numerical and experimental results were observed, especially in a series-parallel flow arrangement.
JOURNAL OF FOOD ENGINEERING
(2022)
Article
Biotechnology & Applied Microbiology
Paulo Siqueira Silva, Carlos Roberto Rodrigues Veloso, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: The study focused on analyzing the impact of operating conditions on the drying process and quality of Spirulina platensis in an indirect solar dryer. Results showed that the thermal-fluid-dynamic conditions provided drying air temperatures from 34 to 42 degrees Celsius, with an average thermal efficiency of 62%, and adequate drying in up to 3.5 hours. Higher temperatures combined with lower mass loads resulted in increased levels of phycocyanin in dry microalgae by up to 43%.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2021)
Article
Energy & Fuels
Suelen Mara Goncalves, Gregori Ullmann, Murilo Guimaraes Morimoto, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: This study evaluates the performance of a hydrocyclone operating with concentrated pseudoplastic suspensions, finding that reducing the separation performance drop can be achieved by appropriate increases in underflow diameter and reductions in vortex finder length at lower concentrations, while at certain concentrations, the hydrocyclone operated with significantly reduced efficiency and modifications in design variables were insufficient to counteract the detrimental effect of increased slurry viscosity.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Chemical
Murilo Guimaraes Morimoto, Suelen Mara Goncalves, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: Hydrocyclones are used to separate solid or liquid particles from a liquid phase. By replacing the walls of hydrocyclones with permeable walls, the performance of the filtering hydrocyclones was found to be better than conventional devices. This study evaluates the performance of a filtering and a conventional hydrocyclone operating with concentrate suspensions with pseudoplastic rheological behavior.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2023)
Article
Engineering, Environmental
Raissa Aparecida da Silveira Rossi, Leilei Dai, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira, Carla Eponina Hori, Kirk Cobb, Paul Chen, Roger Ruan
Summary: This study investigates the catalytic microwave-assisted pyrolysis of microalgae in a tandem catalytic bed, aiming to reduce the formation of unwanted compounds and enhance aromatic hydrocarbon production. The results show that the hydrotalcite catalyst promotes de-acidification and de-nitrification reactions, while the zeolite catalyst converts intermediate compounds into hydrocarbons. The maximum hydrocarbon and benzene yields are achieved at a temperature of 500 degrees C and a NiHTC/SiC:NiHZSM-5/SiC catalyst ratio of 1:1. The study also provides important data on energy recovery and bio-oil quality during the catalytic pyrolysis of microalgae.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Energy & Fuels
Raissa Aparecida da Silveira Rossi, Dayana D'Arc de Fatima Palhares, Paula Cordeiro Rodrigues da Cunha, Joao Jorge Ribeiro Damasceno, Marcos Antonio de Souza Barrozo, Luiz Gustavo Martins Vieira
Summary: This study evaluates the optimal operational conditions for hydrogen production via alkaline water electrolysis using photovoltaic solar energy. The results suggest that using stainless steel electrodes and KOH electrolyte in combination with a photovoltaic panel can achieve high hydrogen purity and flow rates.
RENEWABLE ENERGY FOCUS
(2023)