Results 11 to 20 of about 7,312,623 (249)

Discrete Particle Swarm Optimization for the minimum labelling Steiner tree problem [PDF]

, 2008
Particle Swarm Optimization is an evolutionary method inspired by the social behaviour of individuals inside swarms in nature. Solutions of the problem are modelled as members of the swarm which fly in the solution space.
N. Mladenović, Darby-Dowman, K, Moreno-Pérez, J A, S. Consoli, J. A. Moreno Pérez, Mladenović, N, K. Darby-Dowman, Consoli, S, Moreno-Pérez, JA   +8 more
core   +7 more sources

Dual population-based incremental learning for problem optimization in dynamic environments [PDF]

, 2003
Copyright @ 2003 Asia Pacific Symposium on Intelligent and Evolutionary SystemsIn recent years there is a growing interest in the research of evolutionary algorithms for dynamic optimization problems since real world problems are usually dynamic, which ...
Yang, S, Yao, X, Shengxiang Yang, Yao, Xin, Yang, Shengxiang, Xin Yao   +5 more
core   +6 more sources

Multi-agent system for dynamic manufacturing system optimization [PDF]

, 2008
This paper deals with the application of multi-agent system concept for optimization of dynamic uncertain process. These problems are known to have a computationally demanding objective function, which could turn to be infeasible when large problems are ...
Abbod, MF, Al-Kanhal, T
core   +7 more sources

Replication Data for: eSLP optimization algorithm

, 2023
m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
core   +1 more source

Harrow with Turning Disc Section

Инженерные технологии и системы, 2023
Introduction. At present, there is widely used smooth plowing, which is moldboard plowing without back ridges and deep furrows. Aim of the Article. The article deals with developing a new design of working tools for smooth soil plowing that ensure the ...
Boris F. Tarasenko, Vitaly V. Kuzmin, Irina P. Troyanovskaya, Svetlana A. Partko, Sergey A. Voinash   +4 more
doaj   +1 more source

Features of the use of specialized languages for the construction of geometric models of cellular objects in fi element modeling and optimization calculations

Системный анализ и прикладная информатика, 2019
To perform optimization calculations based on the finite element approach in accordance with the criteria accepted by the researcher, it is necessary to first create a parametric geometric model of the product so as to be able to further determine their ...
V. V. Naprasnikov, Yu. V. Polozkov, A. V. Borodulya, D. P. Kunkevich   +3 more
doaj   +1 more source

Selecting Some Variables to Update-Based Algorithm for Solving Optimization Problems

Sensors, 2022
With the advancement of science and technology, new complex optimization problems have emerged, and the achievement of optimal solutions has become increasingly important.
Mohammad Dehghani, Pavel Trojovský
doaj   +1 more source

Self-Adaptive Synergistic Optimization for Parameters Extraction of Synchronous Reluctance Machine Nonlinear Magnetic Model

IEEE Access, 2021
For mechanism analysis and high-performance control of synchronous reluctance machine (SynRM), accurate and reliable parameter identification of nonlinear magnetic model is always required.
Yuanzhe Zhao, Linjie Ren, Guobin Lin, Zhiming Liao, Siming Liu   +4 more
doaj   +1 more source

D-CRMP history matching considering predictive properties

Известия высших учебных заведений: Нефть и газ, 2023
The article presents results of tests of software that implements the D-CRMP model. D-CRMP is a version of the analytical capacitance-resistance model (CRM) that is primarily used for waterflood characterization and reservoir management.
N. G. Musakaev, S. P. Rodionov, V. I. Lebedev, E. N. Musakaev   +3 more
doaj   +1 more source

Adaptive hybrid optimization method for valley functions in weight minimization problems for wind turbine blades

Вісник Харківського національного університету імені В.Н. Каразіна. Серія: Математичне моделювання, інформаційні технології, автоматизовані системи управління, 2022
The article proposes an adaptive method for finding the minimum of an arbitrary smooth multivariable function. The method has been used to solve the benchmark optimization problem of a valley function.
Костянтин Лапітан, Дар’я Лістрова, Тетяна Руденко, Гелій Шелудько   +3 more
doaj   +1 more source