Results 71 to 80 of about 21,753 (225)

Incorporating Suitability Evaluation Into an Adaptive Ant Colony Algorithm for Territorial Spatial Optimization

Land Degradation &Development, EarlyView.
ABSTRACT Territorial spatial optimization is a key strategy to promote long‐term regional sustainable development. Although ant colony optimization (ACO) is widely used in territorial spatial optimization, it is prone to local optima and offers limited integration of spatial suitability and regional heterogeneity. To address these problems, an adaptive
Mingxin Li, Yanhui Wang, Chunhua Peng, Yue Sun   +3 more
wiley   +1 more source

Optimasi Training Neural Network Menggunakan Hybrid Adaptive Mutation PSO-BP

Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems), 2015
Optimization of training neural network using particle swarm optimization (PSO) and genetic algorithm (GA) is a solution backpropagation’s problem. PSO often trapped in premature convergent (convergent at local optimum) and GA takes a long time to ...
Salnan Ratih Asriningtias, Harry Soekotjo Dachlan, Erni Yudaningtyas   +2 more
doaj   +1 more source

Mechanical Properties and Microstructure of TIG and ATIG Welded 316L Austenitic Stainless Steel with Multi-Components Flux Optimization Using Mixing Design Method and Particle Swarm Optimization (PSO). [PDF]

Materials (Basel), 2021
Hedhibi AC, Touileb K, Djoudjou R, Ouis A, Alrobei H, Ahmed MMZ.   +5 more
europepmc   +1 more source

Robust Position Control of an Electro‐Hydraulic Actuator via Metaheuristic Optimization of a Fractional‐Order PID Controller

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT In this study, a robust position control strategy is presented for a two‐stage electro‐hydraulic actuator system using a fractional‐order proportional–integral–derivative (FOPID) controller tuned by Kirchhoff's law algorithm (KLA). Electro‐hydraulic systems exhibit strong nonlinearities, parameter uncertainties, and external disturbances ...
Ridvan Firat Cinar, Davut Izci, Serdar Ekinci, Mohammad Salman, Mohammad Al‐Rabayah, Ali Akdagli, Ali Yildiz, Filiz Karaomerlioglu, Gökhan Yüksek   +8 more
wiley   +1 more source

Application of a particle swarm optimization for shape optimization in hydraulic machinery

EPJ Web of Conferences, 2017
A study of shape optimization has become increasingly popular in academia and industry. A typical problem is to find an optimal shape, which minimizes (or maximizes) a certain cost function and satisfies given constraints.
Moravec Prokop, Rudolf Pavel
doaj   +1 more source

Analysis of Optimal Power Flow Using Combined PSO-GSA Technique [PDF]

ITM Web of Conferences
Using a hybrid approach that incorporates both particle swarm optimization (PSO) and gravitational search algorithms (GSA), this project aims to find the best way for power systems to distribute their energy.
Patel Nilesh M., Thangadurai N., Patel Chirag   +2 more
doaj   +1 more source

Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow. [PDF]

Sci Rep, 2021
Babanezhad M, Behroyan I, Nakhjiri AT, Marjani A, Rezakazemi M, Heydarinasab A, Shirazian S.   +6 more
europepmc   +1 more source

Enhanced Control Strategies for Residual‐Vibration Suppression and Adaptive Tracking in Flexible Manipulator Under Unknown Bounded Disturbances

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This paper proposes a hybrid control strategy for flexible‐link manipulators that combines offline trajectory planning with adaptive tracking to suppress residual elastic vibration (REV) under unknown bounded disturbances. A rigid–flexible coupling dynamics model is first established using the floating‐frame method and Lagrange's equations ...
Mingming Shi, Bao Rong, Xiaoting Rui, Guoping Wang, Xiaoli Dong, Xin Zhao   +5 more
wiley   +1 more source

Solving two-dimensional packing problem using particle swarm optimization

Computer Assisted Methods in Engineering and Science, 2017
Particle swarm optimization is one of the evolutionary computations which is inspired by social behavior of bird flocking or fish schooling. This research focuses on the application of the particle swarm optimization to two-dimensional packing problem ...
Young-Bin Shin, Eisuke Kita
doaj   +1 more source

Optimizing Benchmark Functions using Particle Swarm Optimization PSO

Al-Salam Journal for Engineering and Technology
Optimization is a very important step in many automated systems in different sectors because minimizing the search space to find the best solution and hence minimizing the time required by any automated system. This paper implements and evaluates Particle Swarm Optimization (PSO) on four benchmark optimization functions: Rastrigin, Sphere, Rosenbrock ...
Basim K. Abbas, Qabas Abdal Zahraa Jabbar, Rasha Talal Hameed   +2 more
openaire   +1 more source