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Scoring-Based Genetic Algorithm for Wavefront Shaping to Optimize Multiple Objectives [PDF]
Journal of Imaging, 2023 We present a scoring-based genetic algorithm (SBGA) for wavefront shaping to optimize multiple objectives at a time. The algorithm is able to find one feasible solution despite having to optimize multiple objectives.
Tianhong Wang +3 more
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Designing trials with multiple objectives with graphical approach for multiple scenarios [PDF]
Contemporary Clinical Trials CommunicationsClinical trials with multiple objectives require careful control of the overall error rate through adjustments for multiple hypothesis testing. Design optimization must account for these adjustments across various plausible scenarios.
A. Adam Ding, Yulin Li, Samuel S. Wu
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Energy-Efficient Heterogeneous Wireless Sensor Deployment with Multiple Objectives for Structural Health Monitoring [PDF]
Sensors, 2016 Heterogeneous wireless sensor networks (HWSNs) are widely adopted in structural health monitoring systems due to their potential for implementing sophisticated algorithms by integrating a diverse set of devices and improving a network’s sensing ...
Chengyin Liu +3 more
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Robust Facility Location of Container Clinics: A South African Application [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2023 There is a lack of dynamic facility location models for developing countries that consider the changes in the problem environment over time, such as patient population and population migration. Therefore, this paper focuses on using optimization and goal
C. Karsten, W. L. Bean, Q. Van Heerden
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IEEE Access, 2023 Multi Target Regression (MTR) is a machine learning method that simultaneously predicts multiple real-valued outputs using a set of input variables. A lot of emerging applications that can be mapped to this class of problem.
Farrukh Hasan Syed +5 more
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Searching for multiple objects in multiple locations [PDF]
European Journal of Operational Research, 2019 Many practical search problems concern the search for multiple hidden objects or agents, such as earthquake survivors. In such problems, knowing only the list of possible locations, the Searcher needs to find all the hidden objects by visiting these locations one by one.
Thomas Lidbetter, Kyle Y. Lin
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Object-Centric Multiple Object Tracking
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV 2023 camera-ready ...
Zixu Zhao +15 more
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Markov automata with multiple objectives [PDF]
Formal Methods in System Design, 2017 Markov automata combine non-determinism, probabilistic branching, and exponentially distributed delays. This compositional variant of continuous-time Markov decision processes is used in reliability engineering, performance evaluation and stochastic scheduling.
Tim Quatmann +2 more
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A new era of wolf management demands better data and a more inclusive process
Conservation Science and Practice, 2022 Hunting and trapping of gray wolves (Canis lupus) has increased dramatically in the “lower 48” states of the United States. We assess the data used to justify the intense hunting pressure on wolves, and find an absence of accessible biological data.
Peter Kareiva +6 more
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Energies, 2022 The roles and benefits of pumped storage are reflected in different stakeholders of the power system. The multi-dimensionality and non-linearity of pumped storage multi-stakeholder decision-making make pumped storage benefit realization a hot research ...
Yanyue Wang, Guohua Fang, Zhenni Wang
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