Article
Mathematics
Omer Ali, Qamar Abbas, Khalid Mahmood, Ernesto Bautista Thompson, Jon Arambarri, Imran Ashraf
Summary: This study introduces a competitive coevolution process to enhance the capability of Phasor PSO (PPSO) for global optimization problems. Experimental results show that the improved competitive multi-swarm PPSO (ICPPSO) algorithm achieves a dominating performance, with average improvements of 15%, 20%, 30%, and 35% over PPSO and FMPSO.
Article
Physics, Multidisciplinary
Himanshu Upreti, Alok Kumar Pandey, Ziya Uddin, Manoj Kumar
Summary: This research work analyzes the heat and mass transfer nature of 3D flow of Casson nanofluid with gyrotactic microorganisms over a Riga plate, considering modified magnetic field, thermophoresis, and Brownian motion. The study solves the equations for flow, energy, diffusion, and microorganisms using a numerical integration scheme and PSO Particle Swarm Optimization. The results show how the temperature, velocities, concentration, and gyrotactic microorganisms of Casson nanofluid vary with different parameters.
CHINESE JOURNAL OF PHYSICS
(2022)
Article
Thermodynamics
Hielfarith Suffri Shamsuddin, Patrice Estelle, Javier Navas, Normah Mohd-Ghazali, Maziah Mohamad
Summary: This study investigates the influence of surfactant Triton X-100 on boron nitride nanotubes nanofluid in microchannel heat sink, showing that the surfactant can improve thermal performance at 30 degrees Celsius and reduce pressure drop at 50 degrees Celsius. Optimized MCHS dimensions given by MOPSO technique result in improved overall performance for MCHS systems.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Computer Science, Artificial Intelligence
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
Summary: Neural architecture search (NAS) is a popular research topic in deep learning community due to its potential in automating the construction of deep models. Among various NAS approaches, evolutionary computation (EC) stands out for its capability of gradient-free search. However, most current EC-based NAS approaches have the limitation of discrete evolution, making it difficult to handle the number of filters for each layer flexibly. Additionally, EC-based NAS methods are criticized for their inefficiency in performance evaluation, often requiring full training of hundreds of candidate architectures. This work proposes a split-level particle swarm optimization (PSO) approach to address these issues and achieves superior performance on image classification benchmarks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Rui Wang, Kuangrong Hao, Biao Huang, Xiuli Zhu
Summary: An adaptive particle swarm optimization algorithm (SR-PSO-MAES) based on speciation, species regulation, and local search is proposed to solve multimodal optimization problems (MMOPs). The experimental results validate the superiority of the proposed algorithm compared to 15 other algorithms.
APPLIED SOFT COMPUTING
(2023)
Article
Energy & Fuels
Bandar M. Fadhl, Basim M. Makhdoum, Alfian Ma'arif, Iswanto Suwarno, Hudhaifa Hamzah, Mohamed Salem
Summary: Two intelligent approaches (ANFIS and GMDH) were used to model the dynamic viscosity of nanofluids with MgO nanoparticles. Comparing the predicted values with the actual values, it was found that the GMDH method was more accurate and could be widely used in nanofluid research.
Article
Computer Science, Artificial Intelligence
Sonal Jain, Dharavath Ramesh, Diptendu Bhattacharya
Summary: This paper proposes a multi-objective optimization algorithm by combining two optimization algorithms to improve crop benefits and reduce fertilizer application, demonstrating feasibility and effectiveness in optimizing crop patterns.
APPLIED SOFT COMPUTING
(2021)
Review
Chemistry, Multidisciplinary
Meetu Jain, Vibha Saihjpal, Narinder Singh, Satya Bir Singh
Summary: Particle swarm optimization (PSO) is a popular swarm-based optimization technique that is inspired by nature. It has gained attention from researchers in various fields due to its flexibility and easy implementation. Since its origin in 1995, researchers have improved and extended PSO, and made significant progress in theoretical analysis.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Tareq M. M. Shami, Seyedali Mirjalili, Yasser Al-Eryani, Khadija Daoudi, Saadat Izadi, Laith Abualigah
Summary: Particle swarm optimization (PSO) is a well-regarded metaheuristic method, but it suffers from slow convergence and local optima entrapment. This study proposes a novel method called velocity pausing PSO (VPPSO) which allows particles to move with the same velocity as the previous iteration. VPPSO demonstrates superior performance in solving high-dimensional problems and can be applied to various real-world optimization problems.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Claudiu Pozna, Radu-Emil Precup, Erno Horvath, Emil M. Petriu
Summary: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The algorithm is applied to the optimal tuning of proportional-integral-fuzzy controllers for position control of integral-type servo systems, resulting in reduced energy consumption. A comparison with other metaheuristic algorithms is provided at the end of the article.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Chemistry, Analytical
Sundararaj Suganthi, Nagappan Umapathi, Miroslav Mahdal, Manickam Ramachandran
Summary: This study proposes a method based on multi-swarm optimization and tabu search techniques to improve the energy-efficient data gathering in wireless sensor networks. By choosing the optimal path, the network's lifespan and energy efficiency are improved.
Article
Automation & Control Systems
Izaz Ur Rahman, Zidong Wang, Weibo Liu, Baoliu Ye, Muhammad Zakarya, Xiaohui Liu
Summary: This study presents a novel N-state Markovian jumping PSO algorithm based on the evolution of states governed by a Markov chain, which outperforms some popular PSO algorithms in solving optimization problems.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Social Sciences, Interdisciplinary
Iqbal Hayat, Adnan Tariq, Waseem Shahzad, Manzar Masud, Shahzad Ahmed, Muhammad Umair Ali, Amad Zafar
Summary: Permutation flow-shop scheduling is a strategy that optimizes the processing of jobs while ensuring the same order on subsequent machines. Particle Swarm Optimization (PSO) has been frequently used for this purpose. This research developed a standard PSO and hybridized it with Variable Neighborhood Search (PSO-VNS) and Simulated Annealing (PSO-VNS-SA) to handle Permutation Flow-Shop Scheduling Problems (PFSP). The hybrid PSO (HPSO) performed well compared to other algorithms, with an ARPD value of 0.48 indicating robustness and improved performance in optimizing makespan.
Article
Computer Science, Interdisciplinary Applications
Davoud Sedighizadeh, Ellips Masehian, Mostafa Sedighizadeh, Hossein Akbaripour
Summary: The Particle Swarm Optimization (PSO) algorithm, a nature-inspired meta-heuristic, has evolved into various variants due to its flexibility in parameters and concepts. The Generalized Particle Swarm Optimization (GEPSO) algorithm enriches the original PSO by incorporating new terms and dynamic inertia weight updates, leading to improved performance in continuous space optimization.
MATHEMATICS AND COMPUTERS IN SIMULATION
(2021)
Article
Chemistry, Analytical
Suganya Selvaraj, Eunmi Choi
Summary: This paper proposes an improved PSO algorithm, called dynamic sub-swarm PSO, for text document clustering problems. The experimental results show that this algorithm outperforms standard PSO and K-means algorithms in terms of purity and execution time.
Review
Energy & Fuels
Hossein Pourrahmani, Majid Siavashi, Adel Yavarinasab, Mardit Matian, Nazanin Chitgar, Ligang Wang, Jan Van Herle
Summary: This paper aims to comprehensively evaluate the challenges and solutions regarding the long-term performance of proton-exchange membrane fuel cells (PEMFCs). Specifically, it focuses on the design and coating of bipolar plates, optimization of sealing and compression kits, stack degradation, and contamination prevention.
Article
Energy & Fuels
Milad Shirbani, Majid Siavashi, Milad Hosseini, Mehdi Bidabadi
Summary: This study investigates the use of metal foam as a carrier for thermal energy storage with phase change materials. By adjusting the arrangement and size of the pores, the researchers found that the dot arrangement shows better performance in thermal energy storage.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Green & Sustainable Science & Technology
Hamid Moghimi, Majid Siavashi, Mohaddeseh Mousavi Nezhad, Alberto Guadagnini
Summary: This study uses pore-scale direct computations to investigate the velocity fields within highly porous metal foams. The results show that the complexity of the pore flow patterns affects the onset of non-Darcy flow, and porosity and number of pores per inch have significant impacts on the permeability of the foams.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Younes Aryan, Mehdi Jannat Alipour, Majid Siavashi, Amir Mohammad Norouzi
Summary: This paper investigates the thermal performance of a solar collector using nanofluids and porous lines. The results show that the utilization of porous lines can improve the efficiency of the solar collector and significantly increase the outlet temperature of the nanofluid. Additionally, the thermal efficiency can be further enhanced depending on the rotation frequency.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Construction & Building Technology
Saeid Chahardoli, Mehdi Khakzand, Mohsen Faizi, Majid Siavashi
Summary: This study numerically investigates the influence of building shape on improving outdoor air quality. The results confirm that the combination of shed roof and porch can reduce particle deposition on the downstream wall of the building, while using a porch at different heights integrated with a flat roof accumulates more particles on the downstream wall.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Thermodynamics
Emad Sepehri, Majid Siavashi
Summary: This study presents a pore-scale direct numerical simulation of flow and convection-conduction heat transfer in open-cell metal foams. The effects of foams' porosity, solid material, and Reynolds number on flow characteristics and heat transfer are investigated. Results show that decreasing porosity increases flow complexity and subsequent increments in heat transfer and pressure drop. Conductive heat transfer through the foam plays a vital role in the total heat transfer rate. These pore-scale outcomes can be used in macro-scale thermo-fluid models for more accurate simulations with less computational costs.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Green & Sustainable Science & Technology
Sina Khaleghi, Sasan Asiaei, Majid Siavashi
Summary: This article presents a thermodynamic investigation of a novel polygeneration smart grid system that integrates multieffect distillation, compressed air energy storage, and a parabolic trough solar collector field to produce power and water. The system is designed to increase the round-trip efficiency by about 33.5%. Parametric analysis shows that the inlet motive steam mass flow rate and the maximum pressure of the air cavern significantly affect the production of distilled water and the round-trip efficiency, respectively.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Ali Reza Karimi, Majid Siavashi, Milad Tahmasbi, Amir Mohammad Norouzi
Summary: The article introduces a new design using helical coil and copper metal foam to improve the low thermal conductivity issue of phase change materials (PCM), and experimentally analyzes the effects of various parameters on thermal energy storage performance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Water Resources
Milad Hosseini, Majid Siavashi, Milad Shirbani, Mohaddeseh Mousavi Nezhad
Summary: Simulation of flow at the pore scale is crucial for understanding fluid behavior in porous media. This study investigates the effect of the magic parameter on simulation results by considering errors in micro-CT images, and compares the results with the Navier-Stokes method. The study also presents a criterion for estimating the error amplitude of flow characteristics due to micro-CT imaging. The findings show that the magic parameter can accurately simulate complex geometries with minimal error.
ADVANCES IN WATER RESOURCES
(2023)
Article
Thermodynamics
Hamidreza Khoshtarash, Majid Siavashi, Milad Ramezanpour, Martin J. Blunt
Summary: By conducting pore-scale simulations, the flow characteristics and convective heat transfer of two-phase nanofluid flow in open-cell metal foams (OCMFs) were investigated. The results showed that parameters such as non-Michaelis flow patterns, nanoparticle concentration and diameter, and pore density have significant effects on heat transfer.
APPLIED THERMAL ENGINEERING
(2023)
Review
Energy & Fuels
Milad Shirbani, Majid Siavashi, Mehdi Bidabadi
Summary: Utilizing phase change materials (PCMs) is an effective method of storing thermal energy and gaining popularity in renewable energy systems. Various numerical methods have been used to study PCM performance during phase changes, but their low thermal conductivity limits their industrial applications. This article addresses the efficient methods of enhancing PCM thermal conductivity.
Article
Thermodynamics
Reza Paknahad, Majid Siavashi, Milad Hosseini
Summary: This study investigates pore-scale flow and conjugate heat transfer in high-porosity open-cell metal foams. Direct numerical simulations are performed using a lattice Boltzmann solver for flow and advection-diffusion. The results show that the transition from the Darcy to non-Darcy regime occurs at lower Reynolds numbers in foams with lower porosity. Additionally, metal foams cool down rapidly at high flow velocities while the temperature rise in the fluid is minimal.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Sepehr Mousavi, Amirhosein Zadehkabir, Majid Siavashi, Xiaohu Yang
Summary: This paper proposes a new hybrid cooling system that combines phase change material (PCM) and liquid cooling to achieve high performance and safety for prismatic batteries. The system uses mini-channel cold plates and PCM plates to provide parallel cooling. Three-dimensional numerical simulations and real driving cycle tests validate the thermal performance, power consumption, and safety of the system. The new design improves battery thermal management characteristics and reduces fabrication and maintenance costs.
Article
Energy & Fuels
Hamed Mir, Majid Siavashi
Summary: In this study, a whole-time scenario optimization is designed to simultaneously optimize the operational and well placement parameters of SAGD. Parallel particle swarm optimization is developed to reduce computational costs. The findings show that conducting parallel PSO can significantly reduce the optimization time, and using non-uniform time intervals can achieve the highest NPV and shorten the SAGD time.
GEOENERGY SCIENCE AND ENGINEERING
(2023)
Article
Thermodynamics
Salim Baadj, Hamed Mir, Aissa Abderrahmane, Majid Siavashi, Hazim Moria, Sahnoun Mohammed, Aimad Koulali
Summary: This study numerically analyzed the heat transfer and entropy production of Cu-water nanofluid using porous media in a cubic container. The results showed that increasing Ra and Da numbers had significant positive impacts on heat transfer, while increasing Ha number reduced heat transfer and increased entropy generation.
JOURNAL OF POROUS MEDIA
(2022)
