Suchergebnisse - multiobjective evolutionary algorithm based on decomposition((moea/d OR moda/d))

MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition von 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 …”
Volltext

Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II von Hui Li, Hui Li, Qingfu Zhang, Qingfu Zhang

“… evolutionary algorithms for dealing with complicated PS shapes. It also proposes a new version of MOEA/D based on differential evolution (DE), i.e …”
Volltext

MOEA/D-ACO: A Multiobjective Evolutionary Algorithm Using Decomposition and AntColony von Liangjun Ke, Qingfu Zhang, Battiti, Roberto

“… ) based on decomposition (MOEA/D), this paper proposes a multiobjective EA, i.e., MOEA/D-ACO. Following other MOEA/D-like algorithms, MOEA/D-ACO decomposes …”
Volltext

Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model von Qingfu Zhang, Wudong Liu, Tsang, Edward, Virginas, Botond

“… This paper proposes such a method, called MOEA/D-EGO, for dealing with expensive multiobjective optimization …”
Volltext

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization von 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 …”
Volltext

MOEA/D + uniform design: A new version of MOEA/D for optimization problems with many objectives von Tan, Yan-yan, Jiao, Yong-chang, Li, Hong, Wang, Xin-kuan

“… To extend multiobjective evolutionary algorithm based on decomposition (MOEA/D) in higher dimensional objective spaces, this paper proposes a new version …”
Volltext

MOEA/D With Spatial-Temporal Topological Tensor Prediction for Evolutionary Dynamic Multiobjective Optimization von Wang, Xianpeng, Zhao, Yumeng, Tang, Lixin, Yao, Xin

“… To address this problem, this article proposes a spatial-temporal topological tensor-based prediction method to generate the initial population in a new environment under the decomposition framework of MOEA/D …”
Volltext

Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front von 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 …”
Volltext

A Survey of Weight Vector Adjustment Methods for Decomposition-Based Multiobjective Evolutionary Algorithms von Ma, Xiaoliang, Yu, Yanan, Li, Xiaodong, Qi, Yutao, Zhu, Zexuan

“… Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous attention and achieved great success in the fields of optimization and decision-making …”
Volltext

Multiobjective path optimization for autonomous land levelling operations based on an improved MOEA/D-ACO von Jing, Yunpeng, Luo, Chengming, Liu, Gang

“… •An improved MOEA/D-ACO algorithm was proposed to optimize the problems.•The proposed method was verified in the simulation and field experiments …”
Volltext

MOEA/D with opposition-based learning for multiobjective optimization problem von Ma, Xiaoliang, Liu, Fang, Qi, Yutao, Gong, Maoguo, Yin, Minglei, Li, Lingling, Jiao, Licheng, Wu, Jianshe

“… Multiobjective evolutionary algorithm based on decomposition (MOEA/D) has attracted a great deal of attention and has obtained enormous success in the field of evolutionary multiobjective optimization …”
Volltext

An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs von 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 …”
Volltext

Adaptive Operator Selection With Bandits for a Multiobjective Evolutionary Algorithm Based on Decomposition von Ke Li, Fialho, Alvaro, Kwong, Sam, Qingfu Zhang

“… to measure the fitness improvements quantitatively in most Pareto-dominance-based multiobjective evolutionary algorithms …”
Volltext

An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts von 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 …”
Volltext

HK-MOEA/D: A historical knowledge-guided resource allocation for decomposition multiobjective optimization von Li, Wei, Zeng, Xiaolong, Huang, Ying, Cheung, Yiu-ming

“… Decomposition-based multiobjective evolutionary algorithms is one of the prevailing algorithmic frameworks for multiobjective optimization …”
Volltext

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms von 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 …”
Volltext

AAV 3-D Path Planning Based on MOEA/D With Adaptive Areal Weight Adjustment von 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 …”
Volltext

SSP Inversion for Weakening Refraction Errors in Deep-Sea Multibeam Bathymetry Using MOEA/D Algorithm von 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 …”
Volltext

Stable Matching-Based Selection in Evolutionary Multiobjective Optimization von Li, Ke, Zhang, Qingfu, Kwong, Sam, Li, Miqing, Wang, Ran

“… Multiobjective evolutionary algorithm based on decomposition (MOEA/D) decomposes a multiobjective optimization problem into a set of scalar optimization subproblems and optimizes them in a collaborative manner …”
Volltext

Decomposition-Based Algorithms Using Pareto Adaptive Scalarizing Methods von Wang, Rui, Zhang, Qingfu, Zhang, Tao

“… Decomposition-based algorithms have become increasingly popular for evolutionary multiobjective optimization …”
Volltext