Suchergebnisse - "Automated Algorithm Design"

Automated Design of Metaheuristics Using Reinforcement Learning Within a Novel General Search Framework von Yi, Wenjie, Qu, Rong, Jiao, Licheng, Niu, Ben

“… Metaheuristic algorithms have been investigated intensively to address highly complex combinatorial optimization problems. However, most metaheuristic …”
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Toward automated algorithm configuration for distributed hybrid flow shop scheduling with multiprocessor tasks von Gholami, Hadi, Sun, Hongyang

“… Due to the large volume of requests and the need to speed up the provision of services, production companies are migrating from a single service center to …”
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Automated design of search algorithms based on reinforcement learning von Yi, Wenjie, Qu, Rong

“… Automated algorithm design has attracted increasing research attention recently in the evolutionary computation community. The main design decisions include …”
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Automated algorithm design using proximal policy optimisation with identified features von Yi, Wenjie, Qu, Rong, Jiao, Licheng

“… Automated algorithm design is attracting considerable recent research attention in solving complex combinatorial optimisation problems, due to that most …”
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Multi-objective Human-robot collaborative batch scheduling in distributed hybrid flowshop via automatic design of local search-reconstruction-feedback algorithm von He, Peng, Jiang, Xuchu, Wang, Qi, Zhang, Biao

“… •The model of multi-objective DHFBSP_HC is constructed.•A configurable local search-reconstruction-feedback algorithm is developed.•An automated algorithm …”
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Automatic Knowledge Graph matching via Self-adaptive Designed Genetic Programming von Xue, Xingsi

“… Knowledge Graph (KG) provides a structured representation of domain knowledge by formally defining entities and their relationships. However, distinct …”
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Integrated model and automatically designed solver for power system restoration von Zhao, Xiaohui, Li, Xia, Zhao, Qi, Yan, Bai, Shi, Yuhui, Kang, Jiajin

“… Power system restoration strategies schedule the power plants to re-energize the power network and loads after a blackout. These strategies are of great …”
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Differential evolution ensemble designer von M.T., Indu, C., Shunmuga Velayutham

“… A meta-evolutionary framework called Differential Evolution Ensemble Designer (DEED) has been proposed in this paper to automate the design of DE ensemble …”
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Automated design of local search algorithms: Predicting algorithmic components with LSTM von Meng, Weiyao, Qu, Rong

“… With a recently defined AutoGCOP framework, the design of local search algorithms has been defined as the composition of elementary algorithmic components. The …”
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Automated design of search algorithms: Learning on algorithmic components von Meng, Weiyao, Qu, Rong

“… This paper proposes AutoGCOP, a new general framework for automated design of local search algorithms. In a recently established General Combinatorial …”
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A meta-evolutionary selection of constituents in ensemble differential evolution algorithm von M.T., Indu, C., Shunmuga Velayutham

“… A Meta-evolutionary Selection of Constituents in Ensemble DE (MeSCEDE) framework is proposed in this paper to automate the design of high-level …”
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Multi-objective scheduling for surface mount technology workshop: automatic design of two-layer decomposition-based approach von Zhang, Biao, Wang, Zhi-xuan, Meng, Lei-lei, Sang, Hong-yan, Jiang, Xu-chu

“… In the realm of cellular manufacturing systems (CMS), the scenarios where cells are organised as flowlines have gained substantial practical prevalence. Our …”
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Automated Design of Collaboration-Based Hybrid Metaheuristics von Wang, Yipeng, Xin, Bin, Liu, Bo, Wang, Qing

“… Hybridization plays a prominent role in bolstering the performance of optimization algorithms (OAs), yet designing efficient hybrid OAs tailored to intricate …”
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Viscoelastic characterization of the human osteosarcoma cancer cell line MG-63 using a fractional-order zener model through automated algorithm design and configuration von Duque-Gimenez, Grecia C., Zambrano-Gutierrez, Daniel F., Rodriguez-Nieto, Maricela, Menchaca, Jorge Luis, Cruz-Duarte, Jorge M., Zárate-Triviño, Diana G., Avina-Cervantes, Juan Gabriel, Ortiz-Bayliss, José Carlos

“… Understanding the viscoelastic properties of cells is essential for studying their mechanical behavior and identifying disease-related biomechanical markers …”
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A hierarchical reinforcement learning-aware hyper-heuristic algorithm with fitness landscape analysis von Zhu, Ningning, Zhao, Fuqing, Yu, Yang, Wang, Ling

“… •A hyperheuristic algorithm with hierarchical reinforcement learning is proposed.•Two fitness landscape analyses as high-level control strategies are …”
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AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms With Diverse Structures von Zhao, Qi, Yan, Bai, Hu, Taiwei, Chen, Xianglong, Yang, Jian, Cheng, Shi, Shi, Yuhui

“… Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The …”
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Contrasting meta-learning and hyper-heuristic research: the role of evolutionary algorithms von Pappa, Gisele L., Ochoa, Gabriela, Hyde, Matthew R., Freitas, Alex A., Woodward, John, Swan, Jerry

“… The fields of machine meta-learning and hyper-heuristic optimisation have developed mostly independently of each other, although evolutionary algorithms …”
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Optimization of Adaptive Sliding Mode Controllers Using Customized Metaheuristics in DC-DC Buck-Boost Converters von Zambrano-Gutierrez, Daniel F., Cruz-Duarte, Jorge M., Castañeda, Herman, Avina-Cervantes, Juan Gabriel

“… Metaheuristics have become popular tools for solving complex optimization problems; however, the overwhelming number of tools and the fact that many are based …”
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A hybrid neural combinatorial optimization framework assisted by automated algorithm design von Ma, Liang, Hao, Xingxing, Zhou, Wei, He, Qianbao, Zhang, Ruibang, Chen, Li

“… In recent years, the application of Neural Combinatorial Optimization (NCO) techniques in Combinatorial Optimization (CO) has emerged as a popular and …”
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Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-Heuristic Approach von Zambrano-Gutierrez, Daniel Fernando, Valencia-Rivera, Gerardo Humberto, Avina-Cervantes, Juan Gabriel, Amaya, Ivan, Cruz-Duarte, Jorge Mario

“… This work introduces an alternative approach for developing a customized Metaheuristic (MH) tailored for tuning a Fractional-Order …”
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