Search Results - ((automatic OR automation) OR automatizace) programming general terms algorithms

Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling by Su Nguyen, Mengjie Zhang, Johnston, Mark, Kay Chen Tan

“… To overcome this problem, we develop a new approach to automatic programming…”
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Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming by Bartoli, Alberto, De Lorenzo, Andrea, Medvet, Eric, Tarlao, Fabiano

“…We describe the design and implementation of a system for executing search-and-replace text processing tasks automatically, based only on examples of the…”
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Continuous-Time Algorithm Based on Finite-Time Consensus for Distributed Constrained Convex Optimization by Liu, Hongzhe, Zheng, Wei Xing, Yu, Wenwu

“…This article studies the convex optimization problem with general constraints, where its global objective function is composed of the sum of local objective functions…”
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Temporal Parallelization of Dynamic Programming and Linear Quadratic Control by Sarkka, Simo, Garcia-Fernandez, Angel F.

“…This article proposes a general formulation for temporal parallelization of dynamic programming for optimal control problems…”
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Automatic Semantic Segmentation and Classification of Remote Sensing Image Data for Flood Detection Using Novel LSTM Neural Network by Sonavale, Amruta, Chakkaravarthy, Midhun, Srinivasa Rao, Surampudi, Salleh, Hishamuddin Bin M., Jadhav, Jagannath

“…Floods are one of the main threats to human life and the property of natural disasters, especially in highly populated urban areas. Fast and accurate…”
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Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control by Wang, Ding, Wang, Jiangyu, Zhao, Mingming, Xin, Peng, Qiao, Junfei

“…This paper is concerned with a novel integrated multi-step heuristic dynamic programming (MsHDP…”
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A new intelligent hybrid feature extraction model for automating cancer diagnosis: a focus on breast cancer by Rahmani, Roozbeh, Akbarpour, Shahin, Farzan, Ali, Anari, Babak, Afshord, Saeid Taghavi

“…Cancer, or malignant tumor, is a group of diseases that arises from the abnormal proliferation of body cells, which have the ability to invade or spread to…”
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Distributed Mixed-Integer Linear Programming via Cut Generation and Constraint Exchange by Testa, Andrea, Rucco, Alessandro, Notarstefano, Giuseppe

“… Within the distributed framework, we first propose an algorithm that, under the assumption of integer-valued optimal cost, guarantees finite-time convergence to an optimal solution…”
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Distributed Optimization With Coupling Constraints by Wu, Xuyang, Wang, He, Lu, Jie

“…In this article, we investigate distributed convex optimization with both inequality and equality constraints, where the objective function can be a general nonsmooth convex function and all the…”
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Distributed Optimal Coordination for Heterogeneous Linear Multiagent Systems by An, Liwei, Yang, Guang-Hong

“… Compared with the existing results where the structure constraints on local gradients or system matrices are required, the considered DOC framework is sufficiently general in the sense that no extra…”
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Active Learning of Regular Expressions for Entity Extraction by Bartoli, Alberto, De Lorenzo, Andrea, Medvet, Eric, Tarlao, Fabiano

“…We consider the automatic synthesis of an entity extractor, in the form of a regular expression , from examples of the desired extractions in an unstructured text stream…”
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Program Code Generator for Cardiac Electrophysiology Simulation with Automatic PDE Boundary Condition Handling by Punzalan, Florencio Rusty, Kunieda, Yoshitoshi, Amano, Akira

“… We propose a general approach for handling PDEs and boundary conditions in computational…”
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Quantum programming languages by Heim, Bettina, Soeken, Mathias, Marshall, Sarah, Granade, Chris, Roetteler, Martin, Geller, Alan, Troyer, Matthias, Svore, Krysta

“… Not only are they crucial to the programming of quantum computers at scale but also they can facilitate the discovery and development of quantum algorithms even before hardware exists that is capable of executing…”
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Random Coordinate Descent Algorithms for Multi-Agent Convex Optimization Over Networks by Necoara, Ion

“… accurate solution in at most O(1/λ 2 (Q)ϵ) iterations, where λ 2 (Q) is the second smallest eigenvalue of a matrix Q that is defined in terms of the probabilities and the number of blocks…”
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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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Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing by Lăzăroiu, George, Androniceanu, Armenia, GRECU, Iulia, Grecu, Gheorghe, Neguriță, Octav

“… Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable…”
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Convergence Analysis of Distributed Gradient Descent Algorithms With One and Two Momentum Terms by Liu, Bing, Chai, Li, Yi, Jingwen

“… The cost functions are twice continuously differentiable. We first study the algorithm with one momentum term and develop a distributed heavy-ball (D-HB…”
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Incorporating decision-maker’s preferences into the automatic configuration of bi-objective optimisation algorithms by Diaz, Juan Esteban, López-Ibáñez, Manuel

“…•This indicator incorporates DM’s preferences into automatic algorithm configuration.•We demonstrate the effectiveness of our approach on a complex real-world problem…”
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Mixed Deterministic/Randomized Methods for Fixed Order Controller Design by Fujisaki, Y., Oishi, Y., Tempo, R.

“…In this paper, we propose a general methodology for designing fixed order controllers for single-input single-output plants…”
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A genetic programming approach to development of clinical prediction models: A case study in symptomatic cardiovascular disease by Bannister, Christian A., Halcox, Julian P., Currie, Craig J., Preece, Alun, Spasić, Irena

“…Genetic programming (GP) is an evolutionary computing methodology capable of identifying complex, non-linear patterns in large data sets…”
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