Výsledky vyhľadávania - "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…”
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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

“…This paper proposes a push and pull search (PPS) framework for solving constrained multi-objective optimization problems (CMOPs). To be more specific, the…”
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Localized Weighted Sum Method for Many-Objective Optimization Autor Wang, Rui, Zhou, Zhongbao, Ishibuchi, Hisao, Liao, Tianjun, Zhang, Tao

“…Decomposition via scalarization is a basic concept for multiobjective optimization. The weighted sum (WS) method, a frequently used scalarizing method in…”
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Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems Autor Liu, Hai-Lin, Chen, Lei, Zhang, Qingfu, Deb, Kalyanmoy

“…An effective allocation of search effort is important in multiobjective optimization, particularly in many-objective optimization problems (MaOPs). This paper…”
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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. However, the effect of scalarizing methods used…”
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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

“…Feature selection is an important task in machine learning that has two main objectives: 1) reducing dimensionality and 2) improving learning performance…”
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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

“…This article studies a distributed heterogeneous hybrid flow shop scheduling problem under nonidentical time-of-use electricity tariffs (DHHFSP-NTOU). The…”
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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…”
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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

“…Adaptive operator selection (AOS) is used to determine the application rates of different operators in an online manner based on their recent performances…”
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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.

“…There are two main tasks involved in addressing a multiobjective optimization problem (MOP) by evolutionary multiobjective (EMO) algorithms: 1) make the…”
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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

“…The outbreak of the COVID-19 epidemic has had a significant impact in increasing the number of emergency calls, which causes significant problems to emergency…”
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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

“…Autonomous aerial vehicles (AAVs) are desirable platforms for time-efficient and cost-effective task execution. 3-D path planning problems for AAVs can be…”
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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), a set of evenly…”
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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 (denoted as MOEA/D-PBI)…”
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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

“…Refraction errors induced by inaccurate or insufficient sound-speed profiles (SSPs) can result in significant distortion of seafloor topography during…”
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Design of Constellations for GNSS Reflectometry Mission Using the Multiobjective Evolutionary Algorithms Autor Xu, Xiaohua, Ju, Zhanghai, Luo, Jia

“…In this simulation study, the operational GNSS satellites of global positioning system (GPS), Galileo, global navigation satellite system (GLONASS), and BeiDou…”
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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…”
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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

“…MOEA/D-DE algorithm is easy to implement and widely used to deal with multi-objective optimization problems, while its hyper-parameters have a great impact on…”
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Ballast water allocation optimization of crane vessels based on MOEA/D algorithm Autor Jia ZHOU, Lei SONG

“…ObjectivesTo improve the efficiency of the ballast water allocation of crane vessels and reduce energy consumption in this process, an optimization method…”
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基于MOEA/D算法的起重船压载水调配优化 Autor 周佳, 宋磊

“…U663.85; [目的]为提高起重船压载水调配效率,降低调载过程能耗,提出基于分解技术的多目标进化算法(MOEA/D)的起重船压载水调配优化方法.[方法]以各压载水舱调配后的水量为…”
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