Results 1 to 10 of about 5,089,183 (236)
A Comprehensive Review on NSGA-II for Multi-Objective Combinatorial Optimization Problems
IEEE Access, 2021 This paper provides an extensive review of the popular multi-objective optimization algorithm NSGA-II for selected combinatorial optimization problems viz.
Millie Pant, , Václav Snasel
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Analysing the Robustness of NSGA-II under Noise [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference, 2023 Runtime analysis has produced many results on the efficiency of simple evolutionary algorithms like the (1+1) EA, and its analogue called GSEMO in evolutionary multiobjective optimisation (EMO).
Duc-Cuong Dang +3 more
semanticscholar +3 more sources
Self-adaptive polynomial mutation in NSGA-II
Soft Computing, 2023 Evolutionary multi-objective optimization is a field that has experienced a rapid growth in the last two decades. Although an important number of new multi-objective evolutionary algorithms have been designed and implemented by the scientific community ...
Jose L. Carles-Bou, S. F. Galán
semanticscholar +3 more sources
A First Runtime Analysis of the NSGA-II on a Multimodal Problem [PDF]
IEEE Transactions on Evolutionary Computation, 2022 Very recently, the first mathematical runtime analyses of the multiobjective evolutionary optimizer nondominated sorting genetic algorithm II (NSGA-II) have been conducted. We continue this line of research with a first runtime analysis of this algorithm
Zhongdi Qu, Benjamin Doerr
semanticscholar +4 more sources
Improved NSGA-II and its application in BIW structure optimization
Advances in Mechanical Engineering, 2023 Based on the crowding distance algorithm of Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), three improved algorithms are proposed: side length optimization strategy, diagonal optimization strategy, center optimization strategy.
Xiao Wu +5 more
doaj +2 more sources
Scheduling by NSGA-II: Review and Bibliometric Analysis
Processes, 2022 NSGA-II is an evolutionary multi-objective optimization algorithm that has been applied to a wide variety of search and optimization problems since its publication in 2000.
Kalyanmoy Deb +2 more
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Nanomaterials, 2022 Nanoparticles in drug delivery have been widely studied and have become a potential technique for cancer treatment. Doxorubicin (DOX) and carbon graphene are candidates as a drug and a nanocarrier, respectively, and they can be modified or decorated by ...
Duangkamon Baowan +2 more
exaly +3 more sources
ProcessesTo address the issue of local optima encountered during the multi-objective optimization process with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm, this paper introduces an enhanced version of the NSGA-II.
Zhengrui Zhang, Fei Wu, Aonan Wu
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Optimization of rotor-side controller parameters in doubly fed induction generators based on an improved NSGA-II. [PDF]
PLoS ONEHerein, an advanced control strategy to enhance the operational stability of wind turbine generators during grid-voltage surges is presented. In particular, a multiobjective optimization framework based on an improved nondominated sorting genetic ...
Yanling Lv, Xiang Zhao, Zexin Mou
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The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem [PDF]
International Joint Conference on Artificial Intelligence, 2023 The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is one of the most prominent algorithms to solve multi-objective optimization problems. Recently, the first mathematical runtime guarantees have been obtained for this algorithm, however only for ...
Sacha Cerf +4 more
semanticscholar +1 more source