Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04280-z
Abstract: High-fidelity multi-scale design optimization of many real-life applications in structural engineering still remains largely intractable due to the computationally intensive nature of numerical solvers like finite element method. Thus, in this paper, an alternate route… read more here.
Keywords: scale optimization; genetic programming; multi objective; optimization ... See more keywords
A new algorithm for normal and large-scale optimization problems: Nomadic People Optimizer
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04575-1
Abstract: Metaheuristic algorithms have received much attention recently for solving different optimization and engineering problems. Most of these methods were inspired by nature or the behavior of certain swarms, such as birds, ants, bees, or even… read more here.
Keywords: large scale; algorithm; scale optimization; people optimizer ... See more keywords
Scale-up and optimization of HfO2-ZrO2 solid solution thin films for the electrostatic supercapacitors
Sign Up to like & getrecommendations! Published in 2017 at "Nano Energy"
DOI: 10.1016/j.nanoen.2017.07.017
Abstract: Abstract To date, the high energy storage performances observed in the field-induced ferroelectric HfO 2 - or ZrO 2 -based films have had an obstacle to scale-up due to the involvement of low-k monoclinic phase… read more here.
Keywords: thin films; scale optimization; energy; monoclinic phase ... See more keywords
Cooperative Hierarchical PSO With Two Stage Variable Interaction Reconstruction for Large Scale Optimization
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2685944
Abstract: Large scale optimization problems arise in diverse fields. Decomposing the large scale problem into small scale subproblems regarding the variable interactions and optimizing them cooperatively are critical steps in an optimization algorithm. To explore the… read more here.
Keywords: large scale; scale optimization; stage variable; two stage ... See more keywords
Distributed Differential Evolution Based on Adaptive Mergence and Split for Large-Scale Optimization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2728725
Abstract: Nowadays, large-scale optimization problems are ubiquitous in many research fields. To deal with such problems efficiently, this paper proposes a distributed differential evolution with adaptive mergence and split (DDE-AMS) on subpopulations. The novel mergence and… read more here.
Keywords: large scale; mergence split; scale optimization; evolution ... See more keywords
Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2022.3212045
Abstract: Decomposition methods play a critical role in cooperative co-evolutionary algorithms (CCEAs) for solving large-scale optimization problems. Although some well-performing decomposition methods have been designed based on the interactions among variables (IaV), their grouping accuracy is… read more here.
Keywords: overlapping problems; grouping accuracy; large scale; scale optimization ... See more keywords