Multi-objective Bayesian Optimization (MOBO) has become a promising strategy for accelerating process development in Laser Powder Bed Fusion of Metals (PBF-LB/M), where experimental evaluations are costly, and design spaces are high-dimensional.
Andrzej Pawlak
doaj +1 more source
Surrogate-driven design optimization with uncertainty constraints in Monte Carlo simulations
In multi-objective design tasks, the computational cost increases rapidly when high-fidelity simulations are used to evaluate objective functions. Surrogate models help mitigate this cost by approximating the simulation output, simplifying the design ...
Omer F. Erdem +4 more
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Estuaries are critical habitats for many marine species, but are also experiencing rapid human-induced environmental change, posing great challenges for conservation.
Yuke Zhang +6 more
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Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design. [PDF]
Muthyala MR +4 more
europepmc +1 more source
Divergent and stabilizing selection shape the phenotypic space of Arabidopsis thaliana. [PDF]
Przybylska MS +15 more
europepmc +1 more source
Warmer environments harbor greater thermal trait diversity in moth assemblages. [PDF]
Liu M +12 more
europepmc +1 more source
Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]
Seck D +4 more
europepmc +1 more source
Deep Q-Managed: a new framework for multi-objective deep reinforcement learning. [PDF]
Menezes R +3 more
europepmc +1 more source
Living together in a context of plant invasion: the example of the plant communities at the Iles Kerguelen. [PDF]
Eymar-Dauphin P +5 more
europepmc +1 more source
Studying Evolutionary Solution Adaption by Using a Flexibility Benchmark Based on a Metal Cutting Process. [PDF]
Dal Piccol Sotto LF +4 more
europepmc +1 more source

