Search Results - "Unconstrained optimization functions"

A new parameter for conjugate gradient methods using Dai and Liu conjugate condition to solve unconstrained optimization functions

Authors: Ali H. Hassan Khalil K. Abbo

Source: AIP Conference Proceedings. 2899:060012

COMPUTATIONAL METHOD FOR UNCONSTRAINED OPTIMIZATION FUNCTIONS WITH NOISE

Authors: Talal M. Alkhamis

Source: Computational Methods in Sciences and Engineering 2003. :12-14

Subject Terms: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.worldscientific.com/doi/abs/10.1142/9789812704658_0004

A new parameter for conjugate gradient methods using Dai and Liu conjugate condition to solve unconstrained optimization functions.

Authors: Hassan, Ali H. Abbo, Khalil K.

Source: AIP Conference Proceedings; 2023, Vol. 2845 Issue 1, p1-11, 11p

Subject Terms: CONJUGATE gradient methods

thieu1995/opfunu: A library of unconstrained Optimization Functions using Numpy (OpFuNu) for optimization problems

Authors: Nguyen Van Thieu mcrimi

Relation: https://github.com/thieu1995/opfunu/tree/v0.7.1; https://zenodo.org/records/4020030; oai:zenodo.org:4020030; https://doi.org/10.5281/zenodo.4020030

Availability: https://doi.org/10.5281/zenodo.4020030
https://zenodo.org/records/4020030

COMPUTATIONAL METHOD FOR UNCONSTRAINED OPTIMIZATION FUNCTIONS WITH NOISE.

Authors: ALKHAMIS, TALAL M.

Source: Computational Methods in Sciences & Engineering - Proceedings of the International Conference (Iccmse 2003); 2003, p12-14, 3p

Subject Terms: MATHEMATICAL optimization, SEARCH algorithms, NONLINEAR functions, MARKOV spectrum, ORDINARY differential equations

Two sufficient descent spectral conjugate gradient algorithms for unconstrained optimization with application: Two sufficient descent spectral conjugate gradient algorithms...: S. M. Ibrahim, N. Salihu.

Authors: Ibrahim, Sulaiman Mohammed Salihu, Nasiru

Source: Optimization & Engineering; Mar2025, Vol. 26 Issue 1, p655-679, 25p

A descent modification of conjugate gradient method for blurry image reconstruction and unconstrained optimization.

Authors: Sulaiman, Ibrahim M. Khalid, Ruzelan Mohd Nawawi, Mohd Kamal et al.

Source: AIP Conference Proceedings; 2024, Vol. 3123 Issue 1, p1-8, 8p

Subject Terms: CONJUGATE gradient methods, IMAGE reconstruction, NONLINEAR functions, MACHINE learning, ALGORITHMS, DEEP learning

A new clustering method for the diagnosis of CoVID19 using medical images.

Authors: Mittal, Himanshu Pandey, Avinash Chandra Pal, Raju et al.

Source: Applied Intelligence; May2021, Vol. 51 Issue 5, p2988-3011, 24p

Subject Terms: COVID-19, DIAGNOSTIC imaging, DIAGNOSIS, METAHEURISTIC algorithms, COMPUTED tomography, MULTIMODAL user interfaces

Gravitational search algorithm: a comprehensive analysis of recent variants.

Authors: Mittal, Himanshu Tripathi, Ashish Pandey, Avinash Chandra et al.

Source: Multimedia Tools & Applications; Feb2021, Vol. 80 Issue 5, p7581-7608, 28p

Subject Terms: NEWTON'S laws of motion, TRIPLE-negative breast cancer, TABU search algorithm, MULTIMODAL user interfaces

A New Sufficient Descent Conjugate Gradient Method with Exact Line Search.

Authors: Idalisa, Nur Rivaie, Mohd Fadhilah, Nurul Hafawati et al.

Source: AIP Conference Proceedings; 2019, Vol. 2184 Issue 1, p060047-1-060047-10, 10p, 3 Charts, 3 Graphs

Subject Terms: CONJUGATE gradient methods

Geographic Terms: UNITED Kingdom

Company/Entity: INTEL Corp.

A Modified Conjugate Gradient Coefficient With Inexact Line Search For Unconstrained Optimization.

Authors: 'Aini, Nurul Rivaie, Mohd Mamat, Mustafa

Source: AIP Conference Proceedings; 2016, Vol. 1787 Issue 1, p1-6, 6p, 1 Chart, 2 Graphs

Subject Terms: CONJUGATE gradient methods, SEARCH algorithms, STOCHASTIC convergence, MATHEMATICAL optimization, COMPUTER storage devices

An Intelligent Fault Diagnosis Model for Rolling Bearings Based on IGTO-Optimized VMD and LSTM Networks.

Authors: Luo, Xianglong Yu, Fengrong Qian, Jing et al.

Source: Applied Sciences (2076-3417); Apr2025, Vol. 15 Issue 8, p4338, 28p

Subject Terms: LONG short-term memory, ROLLER bearings, INDUSTRIALISM, LONG-term memory, STANDARD deviations

Tornado optimizer with Coriolis force: a novel bio-inspired meta-heuristic algorithm for solving engineering problems.

Authors: Braik, Malik Al-Hiary, Heba Alzoubi, Hussein et al.

Source: Artificial Intelligence Review; Apr2025, Vol. 58 Issue 4, p1-99, 99p

A study of adaptive population sizing in a self-adaptive differential evolution

Authors: Haldi Budiman Shir Li Wang Theam Foo Ng et al.

Source: Results in Control and Optimization, Vol 20, Iss , Pp 100585- (2025)

Subject Terms: Differential evolution, Adaptive parameters, Ensemble, Population size, Applied mathematics. Quantitative methods, T57-57.97

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2666720725000712; https://doaj.org/toc/2666-7207

Access URL: https://doaj.org/article/5ee3d8d3ad9548f4923bef87bfd58fcc

A Genetic Algorithm Using Triplet Nucleotide Encoding and DNA Reproduction Operations for Unconstrained Optimization Problems.

Authors: Wenke Zang Weining Zhang Wenqian Zhang et al.

Source: Algorithms; Sep2017, Vol. 10 Issue 3, p76, 15p

Subject Terms: NUCLEOTIDE sequencing, GENETIC algorithms, EVOLUTIONARY algorithms, STOCHASTIC convergence, NUCLEOTIDE sequence

A novel hybrid JAYA optimization algorithm and extreme learning machine classifier (JAYA-ELM) for software reliability prediction.

Authors: Rath, Suneel Kumar Sahu, Madhusmita Das, Shom Prasad et al.

Source: Intelligent Decision Technologies; Jan2025, Vol. 19 Issue 1, p132-149, 18p

Subject Terms: EXTREME learning machines, MACHINE learning, SOFTWARE reliability, OPTIMIZATION algorithms, FEATURE selection

Optimizing Large Scale Problems With Metaheuristics in a Reduced Space Mapped by Autoencoders—Application to the Wind-Hydro Coordination.

Authors: Miranda, Vladimiro da Hora Martins, Joana Palma, Vera

Source: IEEE Transactions on Power Systems; Nov2014, Vol. 29 Issue 6, p3078-3085, 8p

Subject Terms: DIMENSIONAL reduction algorithms, METAHEURISTIC algorithms, NEURAL circuitry, PARTICLE swarm optimization, BENCHMARKING (Management)

Solving nonlinear systems and unconstrained optimization problems by hybridizing whale optimization algorithm and flower pollination algorithm.

Authors: Tawhid, M.A. Ibrahim, A.M.

Source: Mathematics & Computers in Simulation. Dec2021, Vol. 190, p1342-1369. 28p.

Subject Terms: *ALGORITHMS, *NONLINEAR systems, *MATHEMATICAL optimization, *NONLINEAR equations, *POLLINATION, *POLLINATORS, *CONJUGATE gradient methods

A note on MBFGS-RAM method for solving unconstrained optimization problems and its application.

Authors: Kamfa, Kamilu Yunus, Rabiu B. Ibrahim, Sulaiman M. et al.

Source: AIP Conference Proceedings; 2024, Vol. 2867 Issue 1, p1-6, 6p

Subject Terms: COVID-19

Parallel Whale Optimization Algorithm for Solving Constrained and Unconstrained Optimization Problems

Authors: Sauber, Amr M. Nasef, Mohammed M. Houssein, Essam H. et al.

Index Terms: Computer Science - Neural and Evolutionary Computing, text

URL: http://arxiv.org/abs/1807.09217