Article
Thermodynamics
Shima Soleimani, Steven Eckels
Summary: This paper proposes a methodology for optimizing the three-dimensional geometry of micro-fin surfaces and provides a numerical model to determine the flow physics of optimal geometries. By applying a multi-objective optimization algorithm, the study identifies the best trade-off solutions between enhancement of Nusselt number and Fanning friction factor.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Mingjiang Xie, Jianli Zhao, Ming J. Zuo, Zhigang Tian, Libin Liu, Jinming Wu
Summary: This study establishes a multi-objective optimization framework that considers the structure, availability, and multi-stage corrosion of pipeline systems. By combining with the general structure of pipeline systems, chromosome coding is designed to improve the efficiency of the evolutionary algorithm. The proposed methodology demonstrates effectiveness and accuracy in pipeline systems with different structures and parameters.
Article
Physics, Multidisciplinary
Qingkun Wu, Lingen Chen, Yanlin Ge, Huijun Feng
Summary: This paper utilizes finite time thermodynamic theory and multi-objective genetic algorithm to optimize the irreversible magnetohydrodynamic cycle based on different objective function combinations. The results show that the multi-objective optimization result is preferable to any single-objective optimization result.
Article
Mechanics
Zheng Zhang, Chongjie Liao, Hao Chai, Xiangqi Ni, Kai Pei, Min Sun, Huaping Wu, Shaofei Jiang
Summary: The study proposes a multi-objective optimization technique for bistable laminates, utilizing surrogate models and the NSGA-II algorithm to obtain Pareto-optimal solutions. Experimental investigations validate the optimal designs of bistable laminates obtained through this technique.
COMPOSITE STRUCTURES
(2021)
Article
Energy & Fuels
Lei Gao, Zhen-Yu Zhao, Cui Li
Summary: This paper critically analyzed and applied a multi-objective optimization model to power grid investment. By establishing suitable objective functions, assumptions and constraints, and using the NSGA-II algorithm, the optimal solution to achieve the objectives of power grid investment was found, providing a reference for implementation.
Article
Chemistry, Multidisciplinary
Na Wei, Feng Yang, Kunming Lu, Jiancang Xie, Shaofei Zhang
Summary: This study proposed a multi-objective optimization and multi-attribute decision-making method for reservoir operation, using the NSGA-II-SEABODE algorithm to obtain decision-making schemes. The case study on the Huangjinxia Reservoir showed that the method can promote efficient utilization of water resources and improve the comprehensive benefits of reservoirs.
APPLIED SCIENCES-BASEL
(2022)
Article
Environmental Sciences
Richard Washington, Dmitriy Garmatyuk, Saba Mudaliar, Ram M. Narayanan
Summary: This study investigates the performance of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in many-objective optimization scenarios for joint radar and communication functionality. The results show improved system performance based on selected weights for different objectives, thus validating the viability of the approach.
Article
Computer Science, Artificial Intelligence
Zhenan He, Gary G. Yen, Jinliang Ding
Summary: A novel knee-based decision-making method is proposed to search for solutions of interest from a large number of solutions on the Pareto front, ensuring the performance of these solutions approximates as much as possible the whole Pareto front. Additionally, a new visualization approach is developed to provide information about the shape, location, possible bulge, convergence degree, and distribution of solutions on MaOPs.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Multidisciplinary
Sukriti Tiwari, Ashwani Kumar, Vedik Basetti
Summary: This article addresses the problem of multi-objective optimal placement of mu PMUs in distribution systems, using non-dominated sorting genetic algorithm-II and PROMETHEE-II technique. The proposed solution has been compared with other methods and validated on real-world scenarios, demonstrating its superiority in finding Pareto optimal solutions and significant cost savings when using variable cost mu PMUs.
Article
Chemistry, Physical
Milan Joshi, Ranjan Kumar Ghadai, S. Madhu, Kanak Kalita, Xiao-Zhi Gao
Summary: The increasing popularity of micro-machining has led to widespread use of micro-turning and micro-milling in the manufacturing industry, where optimizing cutting parameters is crucial for performance but often presents conflicting objectives. This study utilizes metaheuristic multi-objective optimization algorithms to address this issue and compares the performance of NSGA-II, MOALO, and MODA in micro-machining applications by using the COPRAS method for assessing Pareto solutions.
Article
Computer Science, Artificial Intelligence
Haiping Ma, Yajing Zhang, Shengyi Sun, Ting Liu, Yu Shan
Summary: This paper provides a comprehensive survey of research on the non-dominated sorting genetic algorithm (NSGA-II) and its potential future research. It introduces the concept of multi-objective optimization and the foundation of NSGA-II, reviews its family and their modifications, and classifies their applications in engineering. The paper also presents interesting open research directions for NSGA-II in multi-objective optimization.
ARTIFICIAL INTELLIGENCE REVIEW
(2023)
Article
Mechanics
Ashish Kumar, Penchaliah Ramkumar, Krishnapillai Shankar
Summary: A novel multi-objective wind turbine gearbox optimization problem is carried out using NSGA-II. The weight of the gearbox and power loss are minimized as conflicting objective functions. Various design constraints related to mechanics and tribology are considered, and three different types of gear tooth profiles are tested.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Computer Science, Information Systems
Kai Zhang, Chaonan Shen, Juanjuan He, Gary G. Yen
Summary: The proposed MMO-EvoKnee algorithm incorporates MCDM strategy to efficiently search for a complete set of global knee solutions for MMOPs. It outperforms existing state-of-the-art MMOEAs and provides decision makers with well-converged alternative solutions.
INFORMATION SCIENCES
(2021)
Article
Materials Science, Multidisciplinary
Peng Zhang, Yiyu Qian, Quan Qian
Summary: Artificial intelligence and data science have accelerated research and development in new materials, with multiple objective optimization algorithms improving solution preferences. The NSGA-IIP, based on the NSGA-II algorithm, introduces cosine similarity in solution evaluation and utilizes four indicators to assess algorithm performance.
MATERIALS TODAY COMMUNICATIONS
(2021)
Article
Materials Science, Paper & Wood
Baogang Wang, Chunmei Yang, Yucheng Ding
Summary: This study proposed an improved multi-objective algorithm for solid wood panel layout optimization, addressing the issues of weak convergence ability, single-objective optimization, and poor optimization effect of traditional genetic algorithms. By increasing the search capability, improving the optimization effect, and achieving simultaneous optimization of multiple objectives, the improved algorithm showed better optimization and stability compared to the traditional algorithm.