Search Results - (automatizace OR automation) programming—(automatizace OR automation) analysis of algorithms

StrAuto: automation and parallelization of STRUCTURE analysis by Chhatre, Vikram E., Emerson, Kevin J.

“… The ever-expanding size of genetic data sets poses computational challenges for this analysis…”
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Recasting and optimizing intersection automation as a connected-and-automated-vehicle (CAV) scheduling problem: A sequential branch-and-bound search approach in phase-time-traffic hypernetwork by Li, Pengfei (Taylor), Zhou, Xuesong

“…•Develop scheduling-oriented formulations to define the intersection automation problem.•Develop a sequential branch-and-bound algorithm to search the optimal solution…”
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In Moderation: Automation in the Digital Public Sphere by Acosta Navas, Diana

“…The digital public forum has challenged many of our normative intuitions and assumptions. Many scholars have argued against the idea of free speech as a…”
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AI driven automation for enhancing sustainability efforts in CDP report analysis by Rangarajan, Ramya, Murugan, Tamilarasi Kathirvel, Govindaraj, Logeswari, Venkataraman, Venyaa, Shankar, Krithik

“… This paper proposes a novel hybrid approach that combines Genetic Algorithms (GA) with Long Short-Term Memory (LSTM…”
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Hamiltonian-Driven Adaptive Dynamic Programming With Approximation Errors by Yang, Yongliang, Modares, Hamidreza, Vamvoudakis, Kyriakos G., He, Wei, Xu, Cheng-Zhong, Wunsch, Donald C.

“…In this article, we consider an iterative adaptive dynamic programming (ADP) algorithm within the Hamiltonian-driven framework to solve the Hamilton-Jacobi-Bellman (HJB…”
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Model‐Free Approximate Dynamic Programming for Stochastic Zero‐Sum Games: Algorithm Design and Analysis by Guo, Liangyuan, Wang, Bing‐Chang, Dong, Hailing

“… A comparative analysis of model‐free algorithms and their equivalence relationships is examined…”
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Evolving Scheduling Heuristics via Genetic Programming With Feature Selection in Dynamic Flexible Job-Shop Scheduling by Zhang, Fangfang, Mei, Yi, Nguyen, Su, Zhang, Mengjie

“… Genetic programming hyperheuristics (GPHH) have been widely used to evolve scheduling heuristics for job-shop scheduling…”
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Automation and Genetic Algorithm Optimization for Seismic Modeling and Analysis of Tall RC Buildings by Cabrera, Piero A., Medina, Gianella M., Delgadillo, Rick M.

“…This article presents an innovative approach to optimizing the seismic modeling and analysis of high-rise buildings by automating the process with Python 3.13 and the ETABS 22.1.0 API…”
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Machine Learning: Algorithms, Real-World Applications and Research Directions by Sarker, Iqbal H.

“…), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area…”
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RETRACTED ARTICLE: Music singing video teaching and timbre automation analysis based on dynamic programming and surveillance video summary algorithm by Huang, Xuhuai

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Distributed Adaptive Convex Optimization on Directed Graphs via Continuous-Time Algorithms by Li, Zhenhong, Ding, Zhengtao, Sun, Junyong, Li, Zhongkui

“… A new adaptive algorithm is proposed to minimize a differentiable global objective function…”
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Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems by Wei, Qinglai, Liu, Derong, Lin, Hanquan

“…In this paper, a value iteration adaptive dynamic programming (ADP) algorithm is developed to solve infinite horizon undiscounted optimal control problems for discrete-time nonlinear systems…”
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Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy by Wei, Qinglai, Shi, Guang, Song, Ruizhuo, Liu, Yu

“… Based on the idea of adaptive dynamic programming (ADP), a self-learning algorithm is constructed to obtain the iterative control law sequence of the battery…”
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Indicator-Based Constrained Multiobjective Evolutionary Algorithms by Liu, Zhi-Zhong, Wang, Yong, Wang, Bing-Chuan

“… A promising way to solve CMOPs is to integrate multiobjective evolutionary algorithms (MOEAs) with constraint-handling techniques, and the resultant algorithms are called constrained MOEAs…”
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Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming by Zhu, Yuanheng, Zhao, Dongbin, He, Haibo, Ji, Junhong

“… Constraints on controls are handled using a bounded function. To learn the optimal solution with partially unknown dynamics, an online adaptive dynamic programming algorithm is proposed…”
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Policy Gradient Adaptive Dynamic Programming for Data-Based Optimal Control by Biao Luo, Derong Liu, Huai-Ning Wu, Ding Wang, Lewis, Frank L.

“…The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP…”
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Group-Based Distributed Auction Algorithms for Multi-Robot Task Assignment by Bai, Xiaoshan, Fielbaum, Andres, Kronmuller, Maximilian, Knoedler, Luzia, Alonso-Mora, Javier

“… The problem is shown to be NP-hard, and we design two group-based distributed auction algorithms to solve this task assignment problem…”
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Collaborative Multifidelity-Based Surrogate Models for Genetic Programming in Dynamic Flexible Job Shop Scheduling by Zhang, Fangfang, Mei, Yi, Nguyen, Su, Zhang, Mengjie

“… It requires complex routing and sequencing decisions under unpredicted dynamic events. Genetic programming (GP…”
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Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling by Zhang, Fangfang, Mei, Yi, Nguyen, Su, Zhang, Mengjie

“… Genetic programming (GP), as a popular hyperheuristic approach, has been used to learn scheduling heuristics for generating schedules for multitask single-objective DFJSS…”
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Late Breaking Results: An Efficient and Scalable Track Assignment with GPU Parallelism by Liu, Genggeng, Huang, Pengcheng, Li, Zepeng, Liu, Wen-Hao, Huang, Xing, Guo, Wenzhong

“… Based on the independence and divisibility of track assignment, we propose a GPU-accelerated parallel track assignment algorithm…”
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