Search alternatives:
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
well optimization » wolf optimization (Expand Search), whale optimization (Expand Search), field optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based well » based cell (Expand Search), based web (Expand Search), based all (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
well optimization » wolf optimization (Expand Search), whale optimization (Expand Search), field optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
based well » based cell (Expand Search), based web (Expand Search), based all (Expand Search)
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DE algorithm flow.
Published 2025“…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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LiBiT algorithm to solve static pricing problems under mixed multinomial logit demand
Published 2020“…We study a static multiproduct price optimization problem with demand given by a continuous mixed multinomial logit model. …”
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Test results of different algorithms.
Published 2025“…In the experiments, optimization metrics such as kinematic optimization rate (calculated based on the shortest path and connectivity between functional areas), space utilization rate (calculated by the ratio of room area to total usable space), and functional fitness (based on the weighted sum of users’ subjective evaluations and functional matches) all perform well. …”
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A MATHEMATICAL OPTIMIZATION APPROACH BASED ON LINEARIZED MIP MODELS FOR SOLVING FACILITY LAYOUT PROBLEMS
Published 2022“…Then, a mathematical optimization approach based on the linearization of the models is applied. …”
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The flowchart of MCS algorithm.
Published 2024“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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The results of four algorithms.
Published 2024“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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The pseudocode of the MCS algorithm.
Published 2024“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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Description of model parameters and assumed values based on expert elicitation and estimates.
Published 2023Subjects: -
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Parameters setting in the MCS algorithm.
Published 2024“…Therefore, we construct mixed-integer linear programming with semi-soft time windows (MIPSSTW) model for optimizing emergency vehicle routing in highway incidents. …”
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Inference for High-Dimensional Linear Mixed-Effects Models: A Quasi-Likelihood Approach
Published 2021“…<p>Linear mixed-effects models are widely used in analyzing clustered or repeated measures data. …”
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