Search Results - "Multiobjective Evolutionary Algorithm"

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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A Maximal Clique Based Multiobjective Evolutionary Algorithm for Overlapping Community Detection by Wen, Xuyun, Chen, Wei-Neng, Lin, Ying, Gu, Tianlong, Zhang, Huaxiang, Li, Yun, Yin, Yilong, Zhang, Jun

“…Detecting community structure has become one important technique for studying complex networks. Although many community detection algorithms have been…”
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A Multi-Population Multi-Objective Evolutionary Algorithm Based on the Contribution of Decision Variables to Objectives for Large-Scale Multi/Many-Objective Optimization by Xu, Ying, Xu, Chong, Zhang, Huan, Huang, Lei, Liu, Yiping, Nojima, Yusuke, Zeng, Xiangxiang

“…Most existing multiobjective evolutionary algorithms treat all decision variables as a whole to perform genetic operations and optimize all objectives with one…”
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A Dynamic Multiobjective Evolutionary Algorithm Based on Decision Variable Classification by Liang, Zhengping, Wu, Tiancheng, Ma, Xiaoliang, Zhu, Zexuan, Yang, Shengxiang

“…In recent years, dynamic multiobjective optimization problems (DMOPs) have drawn increasing interest. Many dynamic multiobjective evolutionary algorithms…”
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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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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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Characterization of Constrained Continuous Multiobjective Optimization Problems: A Performance Space Perspective by Vodopija, Aljosa, Tusar, Tea, Filipic, Bogdan

“…Constrained multiobjective optimization has gained much interest in the past few years. However, constrained multiobjective optimization problems (CMOPs) are…”
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Evolutionary Dynamic Multiobjective Optimization Assisted by a Support Vector Regression Predictor by Cao, Leilei, Xu, Lihong, Goodman, Erik D., Bao, Chunteng, Zhu, Shuwei

“…Dynamic multiobjective optimization problems (DMOPs) challenge multiobjective evolutionary algorithms (MOEAs) because those problems change rapidly over time…”
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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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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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An assessment of hybrid-energy storage systems in the renewable environments by Nkwanyana, Thamsanqa B., Siti, Mukwanga, Wang, Zenghui, Toudjeu, Ignace, Mbungu, Nsilulu Tresor, Mulumba, Willy

“…Hybrid energy storage systems (HESS) are regarded as combinatorial storage system growing power storage capacity system in the world. Many researchers have…”
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Two-Stage Multiobjective Evolution Strategy for Constrained Multiobjective Optimization by Zhang, Kai, Xu, Zhiwei, Yen, Gary G., Zhang, Ling

“…For the past many years, several constrained multiobjective evolutionary algorithms (CMOEAs) have been designed for solving constrained multiobjective…”
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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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Multiobjective Ensemble Learning With Multiscale Data for Product Quality Prediction in Iron and Steel Industry by Wang, Xianpeng, Wang, Yao, Tang, Lixin, Zhang, Qingfu

“…High-quality product quality prediction is very important for iron and steel enterprises to ensure stable production. However, most existing prediction methods…”
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A Learning-Assisted Bi-Population Evolutionary Algorithm for Distributed Flexible Job-Shop Scheduling With Maintenance Decisions by Yan, Qi, Wang, Hongfeng, Yang, Shengxiang

“…In the post-pandemic era, more manufacturers have expedited the shift from centralized to distributed manufacturing to enhance supply chain resilience. Along…”
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A decomposition-based multiobjective evolutionary algorithm with weights updated adaptively by Liu, Yuan, Hu, Yikun, Zhu, Ningbo, Li, Kenli, Zou, Juan, Li, Miqing

“…•A new trigger is developed to control when the weight should be updated.•A new adaptive weighting method is proposed.•A new decomposition algorithm with…”
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Ensemble multi-objective optimization approach for heterogeneous drone delivery problem by Wen, Xupeng, Wu, Guohua, Li, Shuanglin, Wang, Ling

“…Recently, driven by advancements in the payload capacity and endurance of drones, the logistics industry has shown significant interest in drone Last-Mile…”
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A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique by Shivam, Kumar, Tzou, Jong-Chyuan, Wu, Shang-Chen

“…This paper proposes a multi-objective predictive energy management strategy based on machine learning technique for residential grid-connected hybrid energy…”
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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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