Results 71 to 80 of about 79,920 (249)
A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization
A novel dynamic multistage hybrid swarm intelligence optimization algorithm is introduced, which is abbreviated as DM-PSO-ABC. The DM-PSO-ABC combined the exploration capabilities of the dynamic multiswarm particle swarm optimizer (PSO) and the ...
Daqing Wu, Jianguo Zheng
doaj +1 more source
Optimum Multilevel Thresholding Hybrid Ga-pso by Algorithm [PDF]
The conventional multilevel thresholding methods are efficient for bi-level thresholding. However, these methods are computationally very expensive for use in multilevel thresholding because the search of optimum threshold do in depth to optimize the ...
Fauzi, M. A. (Muhammad) +2 more
core
ABSTRACT Environmental pollution from textile dyeing wastewater, particularly the discharge of harmful dyes like methylene blue (MB), poses a significant challenge. This study presents an innovative solution for dyeing wastewater treatment by utilizing durian husk, an agricultural waste, as an adsorbent for MB removal.
L. H. V. Thanh +5 more
wiley +1 more source
Constrained Engineering Optimization Algorithm Based on Elite Selection
Many engineering optimization problems can be state as function optimization with constrained, intelligence optimization algorithm can solve these problems well.
Xuesong Yan +4 more
doaj +1 more source
Herein, we report the first example of the formation of a close‐packed, regular 2D monolayer of a fivefold symmetric cyanostar macrocycle on an Au(111) surface under ultra‐high vacuum and the structural modification of such self‐assembled architecture upon cobalt atom deposition.
Lenka Černá +11 more
wiley +1 more source
A Multipopulation PSO Based Memetic Algorithm for Permutation Flow Shop Scheduling
The permutation flow shop scheduling problem (PFSSP) is part of production scheduling, which belongs to the hardest combinatorial optimization problem.
Ruochen Liu +3 more
doaj +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Application of Dynamic Mutated Particle Swarm Optimization Algorithm to Design Water Distribution Networks [PDF]
This paper proposes the application of a new version of the heuristic particle swarm optimization (PSO) method for designing water distribution networks (WDNs).
Kazem Mohammadi- Aghdam +3 more
doaj
Curve-Fitting on Graphics Processors Using Particle Swarm Optimization [PDF]
Curve fitting is a fundamental task in many research fields. In this paper we present results demonstrating the fitting of 2D images using CUDA (compute unified device architecture) on NVIDIA graphics processors via particle swarm optimization (PSO ...
R. T. Kneusel
doaj +1 more source
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang +4 more
wiley +1 more source

