Search Results - "multiobjective evolutionary algorithm based on decomposition"

On Tchebycheff Decomposition Approaches for Multiobjective Evolutionary Optimization by 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 by 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 by 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 by 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 by 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 by 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 by 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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A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies by Xie, Yingbo, Qiao, Junfei, Wang, Ding, Yin, Baocai

“…In the last decade, the decomposition-based multiobjective optimization evolutionary algorithm (MOEA/D) has displayed promising performance when dealing with…”
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An Improved Multiobjective Optimization Evolutionary Algorithm Based on Decomposition for Complex Pareto Fronts by 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 by 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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Biparty multiobjective optimal power flow: The problem definition and an evolutionary approach by Chang, Yatong, Luo, Wenjian, Lin, Xin, Song, Zhen, Coello, Carlos A. Coello

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Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms by 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 by 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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A hypervolume distribution entropy guided computation resource allocation mechanism for the multiobjective evolutionary algorithm based on decomposition by Wang, Zhao, Gong, Maoguo, Li, Peng, Gu, Jie, Tian, Weidong

“…The computation resource allocation is a key issue to the multiobjective evolutionary algorithms. Present studies still have some difficulties addressing this…”
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AAV 3-D Path Planning Based on MOEA/D With Adaptive Areal Weight Adjustment by 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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Development of data-driven predictive model and enhanced multiobjective optimization to improve the excavation performance of large-diameter slurry shields by Su, Feiming, Wu, Xianguo, Li, Tiejun, Liu, Yang

“…Safety, efficiency and energy consumption are important aspects for evaluating the performance of large-diameter slurry shield, and improving the performance…”
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Resetting Weight Vectors in MOEA/D for Multiobjective Optimization Problems With Discontinuous Pareto Front by 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 by 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 by 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 by 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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