We propose a framework and specific algorithms for screening a large (perhaps countably infinite) space of feasible solutions to generate a subset ...
The idea of this work is to locate plausible optima which enables screening a large, possibly unaccountably infinite, feasible space based on simulating a ( ...
We propose a framework and specific algorithms for screening a large (perhaps countably infinite) space of feasible solutions to generate a subset ...
The presented algorithm, apart from other optimization algorithms, searches global optima effectively by dividing the entire search area into territories ...
We propose a framework and specific algorithms for screening a large (perhaps countably infinite) spaceof feasible solutions to generate a subset containing ...
We propose a framework and specific algorithms for screening a large (perhaps countably infinite) space of feasible solutions to generate a subset ...
More specifically, we propose screening solutions by measuring the discrepancy between the observed data and the space of performance functions having certain ...
Jan 1, 2025 · This article presents a novel and broadly generalizable framework for generating diverse and plausible sets of scenarios.
Oct 11, 2021 · Our results offer an insight into the importance of the noise model for selecting the correct optimum when multiple plausible optima exist.
