Suchergebnisse - "Evolutionary algorithm"

A multiobjective evolutionary algorithm for optimizing the small-world property von Zhang, Ruochen, Zhu, Bin

“… separately and simultaneously. A novel method for optimizing small-world property is then proposed based on the multiobjective evolutionary algorithm with decomposition …”
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An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems von Pan, Quan-Ke, Gao, Liang, Wang, Ling

“… Due to the complexity of the problem, we consider a decomposition strategy and propose a cooperative co-evolutionary algorithm (CCEA …”
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Boosting evolutionary algorithm configuration von Ansótegui, Carlos, Pon, Josep, Sellmann, Meinolf

“… Algorithm configuration has emerged as an essential technology for the improvement of high-performance solvers. We present new algorithmic ideas to improve …”
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An efficient evolutionary algorithm for the orienteering problem von Kobeaga, Gorka, Merino, María, Lozano, Jose A.

“… •New evolutionary algorithm for solving the Orienteering Problem.•It includes a new node inclusion heuristic and adapted Edge Recombination crossover …”
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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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A Federated Learning-Inspired Evolutionary Algorithm: Application to Glucose Prediction von De Falco, Ivanoe, Della Cioppa, Antonio, Koutny, Tomas, Ubl, Martin, Krcma, Michal, Scafuri, Umberto, Tarantino, Ernesto

“… Its main novelty is that this is the first time that an Evolutionary Algorithm is employed on its own to directly perform Federated Learning activity …”
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Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm von Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

“… An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms …”
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EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm von Das Chakladar, Debashis, Dey, Shubhashis, Roy, Partha Pratim, Dogra, Debi Prosad

“… In this paper, we estimate the workload during the multitasking mental activities of human subjects …”
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Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brain von Wang, Mo, Lou, Kexin, Liu, Zeming, Wei, Pengfei, Liu, Quanying

“… These objectives are often mutually exclusive. In this paper, we propose a general framework, called multi-objective optimization via evolutionary algorithm (MOVEA …”
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Multi-Objective Dynamic VAR Planning Against Short-Term Voltage Instability Using a Decomposition-Based Evolutionary Algorithm von Xu, Yan, Dong, Zhao Yang, Meng, Ke, Yao, Wei Feng, Zhang, Rui, Wong, Kit Po

“… ) the total investment cost and 2) the expected unacceptable short-term voltage performance subject to a set of probable contingencies …”
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Multi-objective teaching–learning evolutionary algorithm for enhancing sensor network coverage and lifetime von Tam, Nguyen Thi, Hoang, Vu Dinh, Binh, Huynh Thi Thanh, Vinh, Le Trong

“… Coverage plays a vital role in the performance and proper functioning of wireless sensor networks. However, ensuring a network’s coverage is met numerous …”
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Multifactorial evolutionary algorithm for optimal reconfiguration capability of distribution networks von Li, Qingxia, Huang, Shengjun, Zhang, Xueyang, Li, Wenhua, Wang, Rui, Zhang, Tao

“… Most existing studies on distribution network reconfiguration (DNRC) are predominantly based on a fixed initial topology and optimize switch operations to …”
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Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm von Moctezuma, Luis Alfredo, Abe, Takashi, Molinas, Marta

“… (EEG) signals. We performed the experiments on EEG data of 32 subjects from the DEAP public dataset, where the subjects were stimulated using 60-s videos to elicitate different levels of Arousal/Valence …”
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An efficient evolutionary algorithm for high-speed train rescheduling under a partial station blockage von Wang, Rongsheng, Zhang, Qi, Dai, Xuewu, Yuan, Zhiming, Zhang, Tao, Ding, Shuxin, Jin, Yaochu

“… Firstly, a HSTR model subject to train operation constraints is established to minimize the total train delay …”
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Efficient Surrogate Modeling Method for Evolutionary Algorithm to Solve Bilevel Optimization Problems von Jiang, Hao, Chou, Kang, Tian, Ye, Zhang, Xingyi, Jin, Yaochu

“… The purpose of this study was to develop an evolutionary algorithm (EA) with bilevel surrogate modeling, called BL-SAEA, for tackling bilevel optimization problems (BLOPs …”
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Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm von Chauhan, Sumika, Singh, Manmohan, Aggarwal, Ashwani Kumar

“… In this study, optimal cluster head selection in heterogeneous wireless sensor network through Diversity-Driven Multi-Parent Evolutionary Algorithm with Adaptive …”
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Multiobjective Optimization for Train Speed Trajectory in CTCS High-Speed Railway With Hybrid Evolutionary Algorithm von ShangGuan, Wei, Yan, Xi-Hui, Cai, Bai-Gen, Wang, Jian

“… A speed trajectory profile indicating the authorized train speed at each position can be used to guide the driver or the automatic train operation (ATO) system …”
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Dual learning based Pareto evolutionary algorithm for a kind of multi-objective task assignment problem von Li, Zuocheng, Du, Qinglong, Qian, Bin, Hu, Rong, Xu, Meiling

“… To solve the problem, a dual learning-based Pareto evolutionary algorithm (DLPEA) is proposed. The primary highlights of this work are two-fold …”
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Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach von Mookiah, M.R.K., Acharya, U. Rajendra, Martis, Roshan Joy, Chua, Chua Kuang, Lim, C.M., Ng, E.Y.K., Laude, Augustinus

“… Human eye is one of the most sophisticated organ, with retina, pupil, iris cornea, lens and optic nerve. Automatic retinal image analysis is emerging as an …”
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Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problems von Guo, Peng, Cheng, Wenming, Wang, Yi

“… •A theorem characterizing the property of the optimal solution is presented.•A hybrid evolutionary algorithm (HEA) is proposed …”
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