Search Results - "Multi Objective Evolutionary Algorithm"

A multi-objective evolutionary algorithm based on dimension exploration and discrepancy evolution for UAV path planning problem by Xu, Xiuju, Xie, Chengyu, Luo, Zongfu, Zhang, Chuanfu, Zhang, Tao

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An improved MOEA/D algorithm for bi-objective optimization problems with complex Pareto fronts and its application to structural optimization by Ho-Huu, V., Hartjes, S., Visser, H.G., Curran, R.

“…•An improved MOEA/D (iMOEA/D) is proposed for bi-objective optimization problems with complex Pareto fronts.•An adaptive replacement strategy and a stopping…”
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An ensemble learning based prediction strategy for dynamic multi-objective optimization by Wang, Feng, Li, Yixuan, Liao, Fanshu, Yan, Hongyang

“…Prediction strategies are widely-used in dynamic multi-objective evolutionary algorithms (DMOEAs). However, the characteristics of the environmental changes…”
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An Adaptive Coevolution Method for Efficient Robust Optimization Under Interval Uncertainty by Ding, Anai, Li, Hongshuang, Ma, Yuanzhuo, Li, Wei

“…Interval‐based multi‐objective robust optimization aims to achieve high‐performance solutions insensitive to uncertainty, has garnered significant attention…”
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A dual-population and multi-stage based constrained multi-objective evolutionary by Raju, M. Sri Srinivasa, Dutta, Saykat, Mallipeddi, Rammohan, Das, Kedar Nath

“…The existence of constrained multi-objective optimization problems (CMOPs) in real-world applications motivate researchers to focus more on developing…”
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A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance by An, Youjun, Chen, Xiaohui, Gao, Kaizhou, Zhang, Lin, Li, Yinghe, Zhao, Ziye

“…Production scheduling and maintenance planning are two of the most important tasks in the modern manufacturing workshop. Meanwhile, due to the dynamic order…”
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Distributed enhanced multi-objective evolutionary algorithm based on decomposition for cluster analysis in wireless sensor network by Panwar, Anita, Nanda, Satyasai Jagannath

“…Conventional clustering algorithms do not recognize patterns and structures with contradicting objectives in large, distributed datasets. Distributed…”
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Multi-objective resource allocation for Edge Cloud based robotic workflow in smart factory by Afrin, Mahbuba, Jin, Jiong, Rahman, Ashfaqur, Tian, Yu-Chu, Kulkarni, Ambarish

“…Multi-robotic services are widely used to enhance the efficiency of Industry 4.0 applications including emergency management in smart factory. The workflow of…”
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Multi-objective evolutionary search for automatic deep representation learning on heterogeneous information networks by Liu, Yang, Teng, Xiangyi, Liu, Jing, Li, Yifan

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Multi-objective search of robust neural architectures against multiple types of adversarial attacks by Liu, Jia, Jin, Yaochu

“…Many existing deep learning models are vulnerable to adversarial examples that are imperceptible to humans. To address this issue, various methods have been…”
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Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages by He, Yi, Guo, Su, Zhou, Jianxu, Ye, Jilei, Huang, Jing, Zheng, Kun, Du, Xinru

“…In order to alleviate the resource depletion as well as achieve decarbonization, developing renewable energy system is a feasible solution. This paper…”
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Solving multi-objective weapon-target assignment considering reliability by improved MOEA/D-AM2M by Yi, Xiaojian, Yu, Huiyang, Xu, Tao

“…The weapon-target assignment problem is a challenging optimization issue, but reliability is seldom considered in the majority of existing literature. To…”
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A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop by Song, Haonan, Li, Junqing, Du, Zhaosheng, Yu, Xin, Xu, Ying, Zheng, Zhixin, Li, Jiake

“…•A distributed hybrid flow shop considering worker fatigue is proposed.•A Q-learning driven multi-objective algorithm is designed.•A decoding heuristic that…”
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An intelligent design for Ni-based superalloy based on machine learning and multi-objective optimization by Deng, Yuedan, Zhang, Yu, Gong, Xiufang, Hu, Wang, Wang, Yucheng, Liu, Ying, Lian, Lixian

“…[Display omitted] •A prediction model of Multi-objective Evolutionary Algorithm combined with Machine Learning was established to optimize multiple properties…”
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Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem by Niu, Yunyun, Shao, Jie, Xiao, Jianhua, Song, Wen, Cao, Zhiguang

“…Solving the multi-objective vehicle routing problem with stochastic demand (MO-VRPSD) is challenging due to its non-deterministic property and conflicting…”
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Decomposition based multiobjective evolutionary algorithm for PV/Wind/Diesel Hybrid Microgrid System design considering load uncertainty by Bouchekara, Houssem Rafik El-Hana, Javaid, Muhammad Sharjeel, Shaaban, Yusuf Abubakar, Shahriar, Mohammad Shoaib, Ramli, Makbul Anwari Muhammad, Latreche, Yaqoub

“…This paper aims to optimally design a PV/Wind/Diesel Hybrid Microgrid System (HMS) for a small number of houses considering load uncertainty for the city of…”
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An improved MOEA/D for low-carbon many-objective flexible job shop scheduling problem by Wang, Zhixue, He, Maowei, Wu, Ji, Chen, Hanning, Cao, Yang

“…•A model with four objectives, minimizing the make-span, delay time, processing load rate and carbon emissions, is built.•An initialization strategy with five…”
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Optimizing Reservoir Operations to Mitigate Nutrient and Phytoplankton Exports From a Eutrophic Lake by Tarabih, Osama M., Arias, Mauricio E., Nguyen, Hung Q., Soleymani Hasani, Sajad, Kaplan, David A., Zhang, Qiong

“…Harmful algal blooms have large impacts on aquatic ecosystem and human health. Nutrient enrichment, in combination with warm water temperatures, high sunlight…”
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A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization by Bao, Chunteng, Gao, Diju, Gu, Wei, Xu, Lihong, D.Goodman, Erik

“…•An adaptive decomposition approach is proposed to guide the evolution process.•A structured metric is designed to assess the quality of the candidate…”
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Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm by Hao, Linyuan, Zou, Zhiyuan, Liang, Xu

“…For the issue of energy consumption in the multi-objective flexible job shop scheduling problem (MOFJSP), balancing machine load is significant for enhancing…”
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