[HTML][HTML] Sources of hydrological model uncertainties and advances in their analysis
Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …
Performance-based screening of porous materials for carbon capture
Computational screening methods have changed the way new materials and processes are
discovered and designed. For adsorption-based gas separations and carbon capture, recent …
discovered and designed. For adsorption-based gas separations and carbon capture, recent …
Bio-inspired computation: Where we stand and what's next
In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
with the mimicking of behavioral patterns and social phenomena observed in nature towards …
[HTML][HTML] Designing diversified renewable energy systems to balance multisector performance
JM Gonzalez, JE Tomlinson, EA Martínez Ceseña… - Nature …, 2023 - nature.com
Renewable energy system development and improved operation can mitigate climate
change. In many regions, hydropower is called to counterbalance the temporal variability of …
change. In many regions, hydropower is called to counterbalance the temporal variability of …
Large-scale many-objective deployment optimization of edge servers
B Cao, S Fan, J Zhao, S Tian, Z Zheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of the Internet of Vehicles (IoV) has made transportation systems into
intelligent networks. However, with the increase in vehicles, an increasing number of data …
intelligent networks. However, with the increase in vehicles, an increasing number of data …
Pareto multi-task learning
Multi-task learning is a powerful method for solving multiple correlated tasks simultaneously.
However, it is often impossible to find one single solution to optimize all the tasks, since …
However, it is often impossible to find one single solution to optimize all the tasks, since …
A reference vector guided evolutionary algorithm for many-objective optimization
In evolutionary multiobjective optimization, maintaining a good balance between
convergence and diversity is particularly crucial to the performance of the evolutionary …
convergence and diversity is particularly crucial to the performance of the evolutionary …
A decision variable clustering-based evolutionary algorithm for large-scale many-objective optimization
The current literature of evolutionary many-objective optimization is merely focused on the
scalability to the number of objectives, while little work has considered the scalability to the …
scalability to the number of objectives, while little work has considered the scalability to the …
An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints
Having developed multiobjective optimization algorithms using evolutionary optimization
methods and demonstrated their niche on various practical problems involving mostly two …
methods and demonstrated their niche on various practical problems involving mostly two …
Introductory overview: Optimization using evolutionary algorithms and other metaheuristics
Environmental models are used extensively to evaluate the effectiveness of a range of
design, planning, operational, management and policy options. However, the number of …
design, planning, operational, management and policy options. However, the number of …