Genome‐Scale Metabolic Model's multi‐objective solving algorithm based on the inflexion point of Pareto front including maximum energy utilization and its application in Aspergillus niger DS03043
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.28078
Abstract: The solution of Genome‐Scale Metabolic Model (GSMM) directly affects the simulation accuracy of the metabolic process in digital cells. Single‐objective optimization methods, such as flux balance analysis (FBA), which is widely used in solving GSMM,… read more here.
Keywords: scale metabolic; multi objective; pareto front; gsmm ... See more keywords
A novel methodology for scrutiny of autonomous hybrid renewable energy system
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DOI: 10.1002/er.3841
Abstract: Summary The optimal design of a hybrid system with different configurations including renewable generation is presented in this paper. A novel multi-objective function consisting of 6 different objectives of hybrid system is reported using GA,… read more here.
Keywords: hybrid system; methodology; system; energy ... See more keywords
A translational motion compensation technique for inverse synthetic aperture radar images using multi‐objective particle swarm optimization algorithm
Sign Up to like & getrecommendations! Published in 2020 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32314
Abstract: In this study, a novel multi‐objective (MO) motion compensation (MC) technique is proposed to clear blur effects in the inverse synthetic aperture radar (ISAR) images resulted by the translational motion of the target. Thanks to… read more here.
Keywords: motion compensation; motion; optimization; multi objective ... See more keywords
A multi-objective radiomics model for the prediction of locoregional recurrence in head and neck squamous cell cancers.
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DOI: 10.1002/mp.14388
Abstract: PURPOSE Locoregional recurrence (LRR) is the predominant pattern of relapse after non-surgical treatment of Head and Neck Squamous Cell Cancers (HNSCC). Therefore, accurately identifying patients with HNSCC who are at high risk for LRR is… read more here.
Keywords: neck squamous; treatment; multi objective; locoregional recurrence ... See more keywords
Bézier extraction based isogeometric approach to multi‐objective topology optimization of periodic microstructures
Sign Up to like & getrecommendations! Published in 2021 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6813
Abstract: This article presents the Bézier extraction based isogeometric approach to multi‐objective topology optimization of periodic microstructures. The approach utilizes the B‐splines based Bézier elements as the finite element representation at both macro and micro levels.… read more here.
Keywords: optimization; multi objective; based isogeometric; approach ... See more keywords
Multi-Objective Optimization Tuning Framework for Kinetic Parameter Selection and Estimation.
Sign Up to like & getrecommendations! Published in 2022 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1767-0_4
Abstract: Semi-mechanistic kinetic (i.e., dynamic) models based on first principles are particularly relevant in biology, as they can explain and predict functional behavior that arises from varying concentrations of the cellular components over time. Here, we… read more here.
Keywords: parameter; framework; optimization; multi objective ... See more keywords
Multi-objective lightweight and crashworthiness optimization for the side structure of an automobile body
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-1986-3
Abstract: This paper demonstrates a conjoint method integrating the proposed Hybrid Contribution Analysis (HCA) method, the Artificial Neutral Network (ANN) meta-model, the modified Non-dominated Soring Genetic Algorithm II (MNSGAII) and the Ideal Point Method (IPM), used… read more here.
Keywords: crashworthiness; automobile body; multi objective; method ... See more keywords
A modified hypervolume based expected improvement for multi-objective efficient global optimization method
Sign Up to like & getrecommendations! Published in 2018 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2006-3
Abstract: The hypervolume indicator has been proved as an outstanding metric for the distribution of Pareto points, and the derived hypervolume based expected improvement (HVEI) has received a particular attention in the multi-objective efficient global optimization… read more here.
Keywords: expected improvement; multi objective; hypervolume based; optimization ... See more keywords
Multi-objective optimization for design under uncertainty problems through surrogate modeling in augmented input space
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DOI: 10.1007/s00158-018-2069-1
Abstract: Multi-objective design under uncertainty problems that adopt probabilistic quantities as performance objectives and consider their estimation through stochastic simulation are examined in this paper, focusing on development of a surrogate modeling framework to reduce computational… read more here.
Keywords: uncertainty problems; uncertainty; multi objective; optimization ... See more keywords
Multi-objective optimization case study with active and passive design in building engineering
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-018-2080-6
Abstract: This research presents a synthetic case study for multi-objective optimization for an active and passive design procedure based on dynamic programming using genetic algorithms (GAs) and computational fluid dynamics (CFD). Both active and passive optimized… read more here.
Keywords: multi objective; active passive; objective optimization; optimization ... See more keywords
A Stackelberg game theoretic multi-objective synthesis of four-bar mechanisms
Sign Up to like & getrecommendations! Published in 2019 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-019-02232-8
Abstract: In this article, a Stackelberg game theoretic approach is used for multi-objective optimal synthesis of four-bar mechanisms for path generation. Two objective functions, namely, tracking error (TE) and transmission angle’s deviation from 90° (TA), are… read more here.
Keywords: synthesis four; game theoretic; four bar; multi objective ... See more keywords