Suchergebnisse - "multi-objective evolutionary algorithm"

An ensemble learning based prediction strategy for dynamic multi-objective optimization von 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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A multi-objective evolutionary algorithm based on dimension exploration and discrepancy evolution for UAV path planning problem von 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 von 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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A dual-population and multi-stage based constrained multi-objective evolutionary von 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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Distributed enhanced multi-objective evolutionary algorithm based on decomposition for cluster analysis in wireless sensor network von 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 von 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 search of robust neural architectures against multiple types of adversarial attacks von 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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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 von 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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Solving multi-objective weapon-target assignment considering reliability by improved MOEA/D-AM2M von 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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Multi-objective planning-operation co-optimization of renewable energy system with hybrid energy storages von 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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Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem von 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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Optimizing Reservoir Operations to Mitigate Nutrient and Phytoplankton Exports From a Eutrophic Lake von 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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Decomposition based multiobjective evolutionary algorithm for PV/Wind/Diesel Hybrid Microgrid System design considering load uncertainty von 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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A Q-learning driven multi-objective evolutionary algorithm for worker fatigue dual-resource-constrained distributed hybrid flow shop von 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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A new adaptive decomposition-based evolutionary algorithm for multi- and many-objective optimization von 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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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification von Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“… Sentiment analysis is a critical task of extracting subjective information from online text documents. Ensemble learning can be employed to obtain more robust …”
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The quantitative techno-economic comparisons and multi-objective capacity optimization of wind-photovoltaic hybrid power system considering different energy storage technologies von He, Yi, Guo, Su, Zhou, Jianxu, Wu, Feng, Huang, Jing, Pei, Huanjin

“… •Quantitative techno-economic comparisons of energy storages are conducted.•Operation characteristics of devices are considered in capacity …”
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An intelligent design for Ni-based superalloy based on machine learning and multi-objective optimization von 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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Multiobjective Multiple Mobile Sink Scheduling via Evolutionary Fuzzy Rough Neural Network for Wireless Sensor Networks von Zhao, Jianwei, Cao, Bin, Liu, Xin, Yang, Peng, Singh, Amit Kumar, Lv, Zhihan

“… The sensor nodes in wireless sensor networks have the deficiency of limited energy, and the multihop transmission of information will lead to a premature …”
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Multi-objective evolution strategy for multimodal multi-objective optimization von Zhang, Kai, Chen, Minshi, Xu, Xin, Yen, Gary G.

“… In the past decades, various effective and efficient multi-objective evolutionary algorithms (MOEAs) have been proposed for solving multi-objective …”
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