Global Sensitivity Analysis and Dynamic Optimization of Multi-motor Driving Transmission System
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1909-3
Abstract: The multi-motor driving transmission system (MMDTS) is a nonlinear, complex large-scale mechanical system that includes the drive subsystem (DS) and the gear transmission subsystem (GTS); the GTS is one of the most important units that… read more here.
Keywords: dynamic optimization; global sensitivity; system; transmission ... See more keywords
Global replacement-based differential evolution with neighbor-based memory for dynamic optimization
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1147-9
Abstract: Dynamic optimization problems challenge the evolutionary algorithms, owing to the diversity loss or the low search efficiency of the algorithms, especially when the problems change frequently. This paper presents a novel differential evolution algorithm to… read more here.
Keywords: replacement; dynamic optimization; evolution; differential evolution ... See more keywords
A Generalized Time Iteration Method for Solving Dynamic Optimization Problems with Occasionally Binding Constraints
Sign Up to like & getrecommendations! Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-020-10037-x
Abstract: We study a generalized version of Coleman (1990)’s time iteration method (GTI) for solving dynamic optimization problems. Our benchmark framework is an irreversible investment model with labor-leisure choice. The GTI algorithm is simple to implement… read more here.
Keywords: solving dynamic; dynamic optimization; iteration method; time iteration ... See more keywords
Dynamic optimization of a two-stage emulsion polymerization to obtain desired particle morphologies
Sign Up to like & getrecommendations! Published in 2019 at "Chemical Engineering Journal"
DOI: 10.1016/j.cej.2018.11.081
Abstract: Abstract Particle morphology is a key property of hybrid waterborne polymer dispersions that are used in high-end applications. However, evolving these product-by-process material properties is still mainly achieved by trial-and-error guided semi-empirical knowledge. In this… read more here.
Keywords: optimization; particle morphology; dynamic optimization; particle morphologies ... See more keywords
A simple aggregate demand analysis with dynamic optimization in a small open economy
Sign Up to like & getrecommendations! Published in 2020 at "Economic Modelling"
DOI: 10.1016/j.econmod.2020.04.019
Abstract: We develop an aggregate demand analysis of a small open economy based on all agents’ dynamic optimization. Murota and Ono (2015) present a simple Keynesian cross analysis with dynamic optimization. This paper extends it to… read more here.
Keywords: small open; aggregate demand; dynamic optimization; demand analysis ... See more keywords
Stochastic optimal control methodologies in risk-informed community resilience planning
Sign Up to like & getrecommendations! Published in 2020 at "Structural Safety"
DOI: 10.1016/j.strusafe.2019.101920
Abstract: Abstract The absorptive and restorative abilities of a community are two key elements of community resilience following disasters. The recovery of communities relies on an efficient restoration planning of damaged critical infrastructure systems, household units,… read more here.
Keywords: planning; community; dynamic optimization; community resilience ... See more keywords
Model-Based Dynamic Optimization of Monoclonal Antibodies Production in Semibatch Operation—Use of Reformulation Techniques
Sign Up to like & getrecommendations! Published in 2018 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b05357
Abstract: Monoclonal antibodies (mAbs) constitute one of the leading products of the biopharmaceutical market with significant therapeutic and diagnostic applications. This has drawn increased attention to the intensification of their production processes, where model-based approaches can… read more here.
Keywords: model based; dynamic optimization; production; monoclonal antibodies ... See more keywords
Distributed Dynamic Optimization for Chemical Process Networks Based on Differential Games
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b04663
Abstract: Two distributed dynamic optimization structures, receding noncooperative game optimization (RNGO) and receding cooperative game optimization (RCGO), are presented for analyzing distributed dynamic ... read more here.
Keywords: dynamic optimization; chemical process; optimization chemical; process networks ... See more keywords
An effective simultaneous approach with variable time nodes for dynamic optimization problems
Sign Up to like & getrecommendations! Published in 2017 at "Engineering Optimization"
DOI: 10.1080/0305215x.2016.1270276
Abstract: ABSTRACT An effective simultaneous approach with variable time nodes is proposed to solve the dynamic optimization problems with multiple control components, where the variable time nodes for each control component are considered as parameters directly… read more here.
Keywords: dynamic optimization; variable time; optimization; optimization problems ... See more keywords
Chaos Elite Harris Hawk Optimization Algorithm to Solve Chemical Dynamic Optimization Problems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3183902
Abstract: Dynamic optimization problems in chemical engineering are often described by complex differential equations, In general, Due to the complexity of the model established in practice, it is not easy to solve it with an accurate… read more here.
Keywords: optimization algorithm; dynamic optimization; harris hawk; algorithm ... See more keywords
Dynamic Optimization of Complementarity Systems
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3149470
Abstract: Dynamic optimization theory is established for nonlinear complementarity systems, a class of highly nonlinear and nonsmooth dynamical systems, which find widespread use in engineering. In particular, optimal control problems involving complementarity systems are solved using… read more here.
Keywords: optimization complementarity; dynamic optimization; control; complementarity ... See more keywords