Search Results - ((automation OR automatic) OR automatic) 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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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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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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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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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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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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K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions by Ikotun, Abiodun M., Almutari, Mubarak S., Ezugwu, Absalom E.

“…K-means clustering algorithm is a partitional clustering algorithm that has been used widely in many applications for traditional clustering due to its simplicity and low computational complexity…”
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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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Grammar-based automatic programming for medical data classification: an experimental study by Si, Tapas, Miranda, Péricles, Galdino, João Victor, Nascimento, André

“… This paper focuses on grammar-based automatic programming (GAP) to build optimized discriminant functions for medical data classification in any arbitrary language…”
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An automatic query expansion based on hybrid CMO-COOT algorithm for optimized information retrieval by Alqahtani, Abdullah Saleh, Saravanan, P., Maheswari, M., Alshmrany, Sami

“…) algorithm named as hybrid COOT-CMO for the appropriate selection of optimal candidate terms in the automatic query expansion process…”
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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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An innovative neural network approach for stock market prediction by Pang, Xiongwen, Zhou, Yanqiang, Wang, Pan, Lin, Weiwei, Chang, Victor

“… To study the influence of market characteristics on stock prices, traditional neural network algorithms may incorrectly predict the stock market, since the initial weight of the random selection…”
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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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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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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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Automatic Modulation Classification for CR Using Deep Learning by Solanki, Surendra, Brahma, Banalaxmi, Singh, Yadvendra Pratap

“…Automatic Modulation Classification holds significant importance in the realm of wireless communication systems…”
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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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Automatic near-optimal generation of software test data for critical paths by Abdi, Mina, Mardukhi, Farhad

“… Automating test data generation can significantly reduce costs and improve efficiency. While genetic algorithms and particle swarm optimization (PSO…”
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