A survey on metaheuristics for optimization in food manufacturing industry
This paper surveys recent articles on the applications of metaheuristics for solving
optimization problems in the food manufacturing industry. Metaheuristics for decision …
optimization problems in the food manufacturing industry. Metaheuristics for decision …
Applications of metaheuristic optimization algorithms in model predictive control for chemical engineering processes: A systematic review
The growing competitiveness of the chemical industry, along with sustainability demands
and regulatory requirements, calls for optimized and well-controlled operations. Chemical …
and regulatory requirements, calls for optimized and well-controlled operations. Chemical …
Comparative study on the extraction efficiency, characterization, and bioactivities of Bletilla striata polysaccharides using response surface methodology (RSM) and …
H Chen, B Wang, J Li, J Xu, J Zeng, W Gao… - International Journal of …, 2023 - Elsevier
This research established the optimal conditions for alkali-assisted extraction (AAE) of
bioactive polysaccharides from Bletilla striata integrated with response surface methodology …
bioactive polysaccharides from Bletilla striata integrated with response surface methodology …
A multi-strategy random weighted gray wolf optimizer-based multi-layer perceptron model for short-term wind speed forecasting
Gray wolf optimizer (GWO) that is one of the meta-heuristic optimization algorithms is
principally based on the hunting method and social hierarchy of the gray wolves in the …
principally based on the hunting method and social hierarchy of the gray wolves in the …
Offset-free fuzzy model predictive control of a boiler–turbine system based on genetic algorithm
Y Li, J Shen, KY Lee, X Liu - Simulation modelling practice and theory, 2012 - Elsevier
This paper presents a model predictive control (MPC) strategy based on genetic algorithm to
solve the boiler–turbine control problem. First, a Takagi–Sugeno (TS) fuzzy model based on …
solve the boiler–turbine control problem. First, a Takagi–Sugeno (TS) fuzzy model based on …
Constrained model predictive control of a solid oxide fuel cell based on genetic optimization
Y Li, J Shen, J Lu - Journal of Power Sources, 2011 - Elsevier
Solid oxide fuel cells (SOFCs) are considered to be among the most important fuel cells.
However, SOFCs present a challenging control problem owing to their slow dynamics …
However, SOFCs present a challenging control problem owing to their slow dynamics …
[HTML][HTML] Chaotic based differential evolution algorithm for optimization of baker's yeast drying process
Abstract Chaotic based Differential Evolution (CDE) algorithm is presented to determine the
optimal control variables for the optimization of Baker's Yeast drying process. The chaotic …
optimal control variables for the optimization of Baker's Yeast drying process. The chaotic …
Dynamic neural-network-based model-predictive control of an industrial baker's yeast drying process
U Yuzgec, Y Becerikli, M Turker - IEEE Transactions on Neural …, 2008 - ieeexplore.ieee.org
This paper presents dynamic neural-network-based model-predictive control (MPC)
structure for a baker's yeast drying process. Mathematical model consists of two partial …
structure for a baker's yeast drying process. Mathematical model consists of two partial …
Novel computing paradigms for parameter estimation in Hammerstein controlled auto regressive auto regressive moving average systems
In the present study, strength of meta-heuristic computing techniques is exploited for
estimation problem of Hammerstein controlled auto regressive auto regressive moving …
estimation problem of Hammerstein controlled auto regressive auto regressive moving …
[PDF][PDF] 基于细菌觅食行为的分布估计算法在预测控制中的应用
王雪松， 程玉虎， 郝名林 - 电子学报, 2010 - ejournal.org.cn
为增强分布估计算法(EDA) 的局部优化能力, 将细菌的觅食(BF) 行为, 即细菌的趋化性运动引入
到分布估计算法中, 提出一种基于细菌觅食行为的分布估计算法BF-EDA. 通过8 个Benchmark …
到分布估计算法中, 提出一种基于细菌觅食行为的分布估计算法BF-EDA. 通过8 个Benchmark …