Particle swarm optimization algorithm

The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.

6p viritesh 02-04-2024 0 0   Download

This paper introduces the application of the standard Particle Swarm Optimization (PSO) algorithm with discrete integer variables to solve the problem of optimizing the position of tower cranes and material supply points.

10p visharma 20-10-2023 5 3   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets. From the relevant literature, a credible database encompassing 242 test specimens was developed, along with six input factors that primarily determine bond strength.

12p visharma 20-10-2023 6 5   Download

In the paper, a black knifefish-inspired robot with an elongated undulating fin is investigated for locomotion control using an improved CPG model. The proposed CPG network has sixteen fin rays connected Hopf oscillators for creating fish-like swimming gaits. To identify a set of optimal parameters for the modified CPG network, mutant particle swarm optimization (MPSO), an improved form of particle swarm optimization (PSO), is introduced.

9p giangnhanly 02-10-2023 8 3   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 6 4   Download

Part 1 book "Evolutionary scheduling" includes content: Memetic algorithms in planning, scheduling, and timetabling; landscapes, embedded paths and evolutionary scheduling; designing dispatching rules to minimize total tardiness; hybrid particle swarm optimizers in the single machine scheduling problem - an experimental study.

282p oursky03 21-08-2023 5 4   Download

Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

12p viberkshire 09-08-2023 7 3   Download

The study will present a particle swarm optimization (PSO) algorithm-based offloading scheme to address the identified problems. The numerical simulations presented in this paper will indicate that our proposal is more efficient than that of the previous proposal.

6p viannee 02-08-2023 7 4   Download

Part 1 of ebook "Logistics management and industrial engineering" presents the following content: a mobile application for knowledge-enriched short-term scheduling of complex products; extended MULTIMOORA method based on Shannon entropy weight for materials selection; a discrete particle swarm optimization algorithm with local search for a production-based two-echelon single-vendor multiple-buyer supply chain;...

109p dieptieuung 14-07-2023 5 2   Download

The paper presents the application of improved Particle Swarm optimization algorithm (IPSO) for solving combined economic and emission load dispatch (CEED) problems where transmission power losses are considered.

7p vidoctorstrange 06-05-2023 4 3   Download

This paper proposes a method for determining the optimal coefficients of current controllers using Particle Swarm Optimization (PSO) algorithm. The proposed method does not require much time, strength, and experience of designers.

8p vidoctorstrange 06-05-2023 2 2   Download

In this study, we propose a hybrid method encompassing PFCM and improved Cuckoo search to form the proposed PFCM-ICS. The proposed method has been evaluated on 4 data sets issued from the UCI Machine Learning Repository and compared with recent clustering algorithms such as FCM, PFCM, PFCM based on particle swarm optimization (PSO), PFCM based on CS.

13p visirius 19-01-2023 10 4   Download

In this article, the nonlinear dynamic modeling and tip control methodology for a single flexible link manipulator are presented. In Lagrange approach, the nonlinear modeling is built based on finite element method (FEM) so that the elastic displacements effects of elements of the whole dynamic system can be included.

5p vispyker 16-11-2022 9 1   Download

In this paper, we propose a novel algorithm to optimize the weighted total system rate (WSR) for a broadcast communication system using multiple input-multiple output (MIMO) antenna technology based on the Harris Hawking Optimization (HHO) algorithm, called Algorithm 1, using the Minimum Mean Square Error (MMSE) filter at the mobile stations (MS).

8p vigeneralmotors 13-07-2022 32 6   Download

In this paper we combine Hedge Algebras (HA) with Particle swarm optimization (PSO) to build fuzzy time series model for forecasting time series. The time series need forecasting is converted into a fuzzy time series, HA is used to quantify the linguistic terms which are the values of the fuzzy time series.

6p visherylsandberg 18-05-2022 14 2   Download

This study suggests a new metaheuristic algorithm for global optimization, based on parallel hybridizing the swarm optimization (PSO) and Gravitational search algorithm (GSA). Subgroups of the population are formed by dividing the swarm’s community. Communication between the subsets can be developed by adding strategies for the mutation. Twenty-three benchmark functions are used to test its performance to verify the feasibility of the proposed algorithm.

11p linyanjun_2408 21-04-2022 19 3   Download

This study suggests the optimized dispatching of the micro-power grid based on the improved particle swarm optimization algorithm (IPSO) for full playing to the power generation advantage of distributed energy. A multi-objective micro-grid model under photovoltaic power generation prediction and load prediction is modeled mathematically for the objective function for optimization. The battery's service life and the lowest economic cost are considered multi-objective criteria for solving the optimization problem by the IPSO algorithm.

9p linyanjun_2408 21-04-2022 20 3   Download

This paper proposes a solution to the power grid system's reactive power optimization scheduling problem (RPSP) based on a novel Manta ray forging algorithm (MRFO) evolutionary algorithm. By applying the penalty function for the reactive power optimization model, the management of the constraints of the RPSP optimization formula is counting on for calculation.

10p linyanjun_2408 21-04-2022 10 1   Download

This paper suggests a solution for the image segmentation (IS) problem with the multilevel thresholding based on one of the latest hybrid swarm computation optimization algorithms, particle swarms, and gravitational search (PSGA). The experimental results are comparable with other state-of-the-art algorithms that show that the PSGA on selected images is better than the competitors.

10p linyanjun_2408 21-04-2022 11 1   Download

This paper will study a new method to solve the MS-RCPSP problem based on the Particle Swarm Optimization (PSO) algorithm that is called R-PSO. The new improvement of R-PSO is re-assigning the resource to execute solution tasks. To evaluate the new algorithm's effectiveness, the paper conducts experiments on iMOPSE datasets.

12p vikissinger 03-03-2022 4 1   Download