Multi-objective gold rush optimization algorithm: Theoretical Extensions and applications in UAV path planning. [PDF]
Su K, Wang Y, Kong Y, Liu W.
europepmc +1 more source
One Crisis to Solve Another? The Place of Care in a World of Automated Work
Journal of Social Philosophy, EarlyView.
Anca Gheaus
wiley +1 more source
Multiobjective Design of Growth Media with Genome-Scale Metabolic Models and Bayesian Optimization. [PDF]
Hallmann N +4 more
europepmc +1 more source
Implementation of Modified Effective Butterfly Optimizer in Solving Multi-Objective Pareto Optimal Power Flow Problem with Renewable Uncertainties. [PDF]
Işıker H +6 more
europepmc +1 more source
On the Temporal Variability of Precipitation in Iraq: Arid‐Wet Years and Extreme Events
Daily and monthly precipitation data in Iraq display high seasonal to interdecadal variability, with arid and wet years that have very distinct seasonal cycles. Monthly rainfall is significantly correlated with the Indian Ocean Dipole. Extreme events are identified and classified as belonging to four different weather patterns, allowing to obtain daily
Ali Raheem Al‐Nassar +2 more
wiley +1 more source
PFTuner: An Efficient and Effective Multi-Objective Configuration Tuning Framework Adaptive to Different Software Systems. [PDF]
Feng J, He M, Jin L, Dou H.
europepmc +1 more source
Additive Manufacturing of NiTi Shape Memory Alloys for Elastocaloric Applications: A Review
Additive manufacturing enables complex NiTi architectures that overcome key limitations in elastocaloric refrigeration, including poor heat transfer and high mechanical work input. This review surveys recent advances in LPBF‐ and DED‐fabricated NiTi shape memory alloys for elastocaloric applications, highlighting process–structure–performance ...
Ignatius Andre Setiawan +7 more
wiley +1 more source
Multi-objective optimization in population pharmacokinetic model selection and optimization: application of NSGA-II in pyDarwin. [PDF]
Li X +5 more
europepmc +1 more source
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
Sequence sort: A new non-dominated sorting algorithm for evolutionary multi-objective optimization. [PDF]
Yi Y, Chen W, Shi Y.
europepmc +1 more source

