Výsledky vyhledávání - multiobjective evolutionary algorithm based on decomposition(moea/d)~

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization Autor Ma, Xiaoliang, Zhang, Qingfu, Tian, Guangdong, Yang, Junshan, Zhu, Zexuan

“…Tchebycheff decomposition represents one of the most widely used decomposition approaches that can convert a multiobjective optimization problem into a set of scalar optimization subproblems…”
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Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms Autor Hai-Lin Liu, Lei Chen, Deb, Kalyanmoy, Goodman, Erik D.

“…) by evolutionary multiobjective (EMO) algorithms: 1) make the population converge close to the Pareto-optimal front and 2…”
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Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods Autor Wang, Rui, Zhang, Qingfu, Zhang, Tao

“…Decomposition-based algorithms have become increasingly popular for evolutionary multiobjective optimization…”
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MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition Autor Qingfu Zhang, Qingfu Zhang, Hui Li, Hui Li

“… This paper proposes a multiobjective evolutionary algorithm based on decomposition (MOEA/D). It decomposes a multiobjective optimization problem into a number of scalar optimization subproblems and optimizes them simultaneously…”
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Localized Weighted Sum Method for Many-Objective Optimization Autor Wang, Rui, Zhou, Zhongbao, Ishibuchi, Hisao, Liao, Tianjun, Zhang, Tao

“… A novel decomposition-based EMO algorithm called multiobjective evolutionary algorithm based on decomposition LWS (MOEA/D-LWS…”
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Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms Autor Nguyen, Bach Hoai, Xue, Bing, Andreae, Peter, Ishibuchi, Hisao, Zhang, Mengjie

“… (static and dynamic) based on multiple reference points under the multiobjective evolutionary algorithm based on decomposition (MOEA/D…”
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An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs Autor Shao, Weishi, Shao, Zhongshi, Pi, Dechang

“… The mixed-integer linear programming (MILP) model of DHHFSP-NTOU is established. To solve the DHHFSP-NTOU, this article proposes an ant colony optimization behavior-based multiobjective evolutionary algorithm based on decomposition (ACO_MOEA/D…”
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Push and pull search for solving constrained multi-objective optimization problems Autor Fan, Zhun, Li, Wenji, Cai, Xinye, Li, Hui, Wei, Caimin, Zhang, Qingfu, Deb, Kalyanmoy, Goodman, Erik

“…: push and pull search stages. In the push stage, a multi-objective evolutionary algorithm (MOEA…”
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Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition Autor Ke Li, Fialho, Alvaro, Kwong, Sam, Qingfu Zhang

“… to measure the fitness improvements quantitatively in most Pareto-dominance-based multiobjective evolutionary algorithms…”
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An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts Autor Jiang, Shouyong, Yang, Shengxiang

“…The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has been shown to be very efficient in solving multiobjective optimization problems (MOPs…”
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Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems Autor Liu, Hai-Lin, Chen, Lei, Zhang, Qingfu, Deb, Kalyanmoy

“…). This paper presents a new adaptive search effort allocation strategy for multiobjective evolutionary algorithm based on decomposition MOEA/D-M2M, a recent MOEA/D algorithm for challenging MaOPs…”
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Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front Autor Zhang, Chunjiang, Gao, Liang, Li, Xinyu, Shen, Weiming, Zhou, Jiajun, Tan, Kay Chen

“…When a multiobjective evolutionary algorithm based on decomposition (MOEA/D) is applied to solve problems with discontinuous Pareto front (PF…”
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AAV 3-D Path Planning Based on MOEA/D With Adaptive Areal Weight Adjustment Autor Xiao, Yougang, Yang, Hao, Liu, Huan, Wu, Keyu, Wu, Guohua

“… For path planning problems characterized by sharp peaks and low tails on the Pareto front, this article proposes a multiobjective evolutionary algorithm based on decomposition (MOEA/D…”
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A decomposition-based multiobjective evolutionary algorithm using Simulated Annealing for the ambulance dispatching and relocation problem during COVID-19 Autor Hemici, Meriem, Zouache, Djaafar, Brahmi, Boualem, Got, Adel, Drias, Habiba

“…). This paper proposes an improved MOEA/D algorithm using Simulated Annealing (G-MOEA/D-SA) to handle the real-time ADRP issue…”
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SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm Autor Li, Qianqian, Tong, Qian, Bu, Xianhai, Luo, Yu, Peng, Dongdong

“…) decomposition and multiobjective evolutionary algorithm based on decomposition (MOEA/D). Initially, SSPs obtained from the Argo historical data set are decomposed by EOF…”
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Use of Two Penalty Values in Multiobjective Evolutionary Algorithm Based on Decomposition Autor Pang, Lie Meng, Ishibuchi, Hisao, Shang, Ke

“…The multiobjective evolutionary algorithm based on decomposition (MOEA/D) with the penalty-based boundary intersection (PBI) function…”
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Design of Constellations for GNSS Reflectometry Mission Using the Multiobjective Evolutionary Algorithms Autor Xu, Xiaohua, Ju, Zhanghai, Luo, Jia

“…), the nondominated sorting genetic algorithm II (NSGA-II) and the multiobjective evolutionary algorithm based on decomposition…”
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Ballast water allocation optimization of crane vessels based on MOEA/D algorithm Autor Jia ZHOU, Lei SONG

“… algorithm based on decomposition (MOEA/D) is proposed.MethodsTaking the water volume of each ballast tank after allocation as the decision variable, and the minimum…”
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超参数自适应的MOEA/D-DE算法在翼型气动隐身优化中的应用 Autor 王培君, 夏露, 栾伟达, 陈会强

“…V218%TP18; MOEA/D-DE算法易于实现,被广泛应用于处理多目标优化问题,但其超参数对算法性能影响较大.基于MOEA/D-DE算法框架,利用Sobol全局灵敏度分析方法对差分进化算子中的交叉控制参数进行改进,使用莱维飞行机制控制比例因子,使算法中的超参数拥有自适应能力,得到超参数自适应的MOEA/D-DE…”
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Application of hyper-parameters adaptive MOEA/D-DE algorithm in aerodynamic stealth optimization of airfoil Autor WANG Peijun, XIA Lu, LUAN Weida, CHEN Huiqiang

“… In this paper, based on the MOEA/D-DE algorithm framework, the Sobol global sensitivity analysis method is used to improve the cross control parameter in the differential evolution operator…”
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