Distributed finite‐time optimization algorithms for multi‐agent systems under directed graphs
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.6699
Abstract: Existing distributed finite‐time optimization algorithms for continuous‐time multi‐agent systems require either undirected graphs or weight balanced digraphs, and distributed finite‐time optimization problems for weight unbalanced digraphs are still great challenging. Thus, the distributed finite‐time optimization… read more here.
Keywords: time optimization; time; optimization algorithms; finite time ... See more keywords
Combinations of novel hybrid optimization algorithms‐based trajectory planning analysis for an industrial robotic manipulators
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Field Robotics"
DOI: 10.1002/rob.22069
Abstract: In this paper, an optimal collision‐free trajectory is developed based on the hybrid optimization algorithms for industrial robotic manipulators (IRMs). Three IRMs such as PUMA 560 (six degrees of freedom—6DOF), KUKA LBR iiwa 14 R820… read more here.
Keywords: trajectory planning; hybrid optimization; industrial robotic; optimization algorithms ... See more keywords
Conceptual and numerical comparisons of swarm intelligence optimization algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1993-x
Abstract: Swarm intelligence (SI) optimization algorithms are fast and robust global optimization methods, and have attracted significant attention due to their ability to solve complex optimization problems. The underlying idea behind all SI algorithms is similar,… read more here.
Keywords: conceptual numerical; swarm intelligence; intelligence optimization; optimization algorithms ... See more keywords
Regression line shifting mechanism for analyzing evolutionary optimization algorithms
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2355-z
Abstract: This work introduces a novel methodology to perform the comparative analysis of evolutionary optimization algorithms. The methodology relies simply on linear regression and quantile–quantile plots. The methodology is extrapolated as the one-to-one comparison, one-to-many comparison… read more here.
Keywords: methodology; regression; solution quality; optimization algorithms ... See more keywords
Distributed accelerated optimization algorithms: Insights from an ODE
Sign Up to like & getrecommendations! Published in 2020 at "Science China Technological Sciences"
DOI: 10.1007/s11431-020-1596-8
Abstract: In this paper, we consider the distributed optimization problem, where the goal is to minimize the global objective function formed by a sum of agents’ local smooth and strongly convex objective functions, over undirected connected… read more here.
Keywords: distributed accelerated; optimization algorithms; optimization; accelerated optimization ... See more keywords
Dynamic group search algorithm for solving an engineering problem
Sign Up to like & getrecommendations! Published in 2018 at "Operational Research"
DOI: 10.1007/s12351-017-0317-6
Abstract: Recently many researchers invented a wide variety of meta-heuristic optimization algorithms. Most of them achieved remarkable performance results by infusing the natural phenomena or biological behaviors into the search logics of the optimization algorithms, such… read more here.
Keywords: dynamic group; group; optimization algorithms; group search ... See more keywords
Optimized layout methods based on optimization algorithms for DPOS
Sign Up to like & getrecommendations! Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.10.034
Abstract: Abstract Attention has been devoted to distributed position and orientation system (DPOS) which can provide high precision spatial and temporal information for all remote sensing loads for airborne multi-task synthetical earth observation system in recent… read more here.
Keywords: optimization; dpos; optimization algorithms; layout dpos ... See more keywords
Fuzzy inference optimization algorithms for enhancing the modelling accuracy of wastewater quality parameters.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2021.112862
Abstract: To ensure the safe discharge of treated wastewater to the environment, continuous efforts are vital to enhance the modelling accuracy of wastewater treatment plants (WWTPs) through utilizing state-of-art techniques and algorithms. The integration of metaheuristic… read more here.
Keywords: modelling accuracy; optimization algorithms; wastewater; optimization ... See more keywords
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2021.114367
Abstract: Landslides are a geological hazard that can pose a serious threat to human health and the environment of highlands or mountain slopes. Landslide susceptibility mapping is an essential tool for predicting and mitigating landslides. This… read more here.
Keywords: optimization algorithms; landslide susceptibility; susceptibility mapping;
Effectiveness of 2D optimization algorithms considering voluntary speed reduction under uncertain metocean conditions
Sign Up to like & getrecommendations! Published in 2020 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2020.107063
Abstract: Abstract Ship voyage optimization systems are widely used in today's ocean-crossing ships to consider a ship's sailing safety and energy efficiency. Large uncertainties from the inputs of today's voyage optimization algorithms can reduce the reliability… read more here.
Keywords: speed reduction; voluntary speed; optimization algorithms; speed ... See more keywords
Ineffectiveness of optimization algorithms in building energy optimization and possible causes
Sign Up to like & getrecommendations! Published in 2019 at "Renewable Energy"
DOI: 10.1016/j.renene.2018.09.057
Abstract: Abstract Building energy optimization (BEO) is an emerging technique for achieving energy-efficient building designs. The performance of optimization algorithms is crucial for achieving effective and efficient BEO techniques. In some cases, optimization algorithms can be… read more here.
Keywords: ineffectiveness optimization; optimization; building energy; optimization algorithms ... See more keywords