Revealing the Biological Meaning of Alternative Optimal Solutions of an E. coli Core Model through a System Identification Based Framework
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.032
Abstract: Abstract Genome-scale metabolic network models (GEMs) have been developed and applied successfully in many applications. Among different modeling approaches, flux balance analysis (FBA), a constraint-based method, has attracted significant interest due to its simplicity and… read more here.
Keywords: biological meaning; alternative optimal; optimal solutions; coli core ... See more keywords
Continuous Near-Optimal Control of Energy Storage Systems
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DOI: 10.1016/j.ifacol.2020.12.1334
Abstract: Energy storage plays an essential role in enabling greater uptake of renewable generation. In many applications, energy storage must be used for multiple (sometimes competing) purposes in order to provide the maximum possible economic return.… read more here.
Keywords: energy storage; near optimal; continuous near; energy ... See more keywords
Multi-objective non linear dynamic model identification considering nearly optimal solutions. Application to a ยต-CHP system based on PEMFC
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2105
Abstract: Solving a wide range of engineering problems can be approached from the point of view of multi-objective optimization (MOO), i.e. trying to optimize several conflicting objectives simultaneously. Solutions to these problems are not unique and… read more here.
Keywords: dynamic model; application; optimal solutions; model ... See more keywords
A prediction method based on fractional order displacement for dynamic multiobjective optimization.
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DOI: 10.1016/j.isatra.2022.03.015
Abstract: Prediction-based methods have become more popular for solving dynamic multiobjective optimization problems. However, most of these proposed methods only use the optimal solutions in the previous two or three environments to predict the new optimal… read more here.
Keywords: multiobjective optimization; prediction method; method; optimal solutions ... See more keywords
A Novel TRUST-TECH-Enabled Trajectory-Unified Methodology for Computing Multiple Optimal Solutions of Constrained Nonlinear Optimization: Theory and Computation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.3002566
Abstract: A novel trajectory-unified (TJU) methodology, enabled by transformation under stability-retraining equilibria characterization (TRUST-TECH, TT) method, is proposed to systematically and deterministically compute a set of multiple local optimal solutions (LOSs), if not all of them,… read more here.
Keywords: methodology; optimization; trust tech; optimal solutions ... See more keywords
A Decision Variable Assortment-Based Evolutionary Algorithm for Dominance Robust Multiobjective Optimization
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DOI: 10.1109/tsmc.2021.3067785
Abstract: Dominance robustness (DR) has been proposed for assessing the ability of the Pareto-optimal solutions to remain to be nondominated when the decision variables are subject to noise. There are two main challenges in search for… read more here.
Keywords: robust optimal; dominance; dominance robust; algorithm ... See more keywords
Optimal Solutions for Joint Beamforming and Antenna Selection: From Branch and Bound to Graph Neural Imitation Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2023.3244096
Abstract: This work revisits the joint beamforming (BF) and antenna selection (AS) problem, as well as its robust beamforming (RBF) version under imperfect channel state information (CSI). Such problems arise due to various reasons, e.g., the… read more here.
Keywords: antenna selection; optimal solutions; joint beamforming; beamforming antenna ... See more keywords
Efficient 0/1-Multiple-Knapsack Problem Solving by Hybrid DP Transformation and Robust Unbiased Filtering
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DOI: 10.3390/a15100366
Abstract: The multiple knapsack problem (0/1-mKP) is a valuable NP-hard problem involved in many science-and-engineering applications. In current research, there exist two main approaches: 1. the exact algorithms for the optimal solutions (i.e., branch-and-bound, dynamic programming… read more here.
Keywords: problem; optimal solutions; robust unbiased; knapsack ... See more keywords