The Space Force documents diverge somewhat from the new National Defense Strategy, including by stating that China and Russia ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
Optimization libraries support objective functions that return not just a scalar function value, but also auxiliary data. These are mostly used for logging, diagnostics, and debugging. Currently, the ...
Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have gained increasing attention for addressing expensive many-objective optimization problems (EMaOPs). Generally, the same type of ...
Abstract: The conventional resource allocation methods, using a central node, are not resilient, owing to the failure of the central unit. An advanced solution is to apply distributed optimization by ...
I'm exploring the possibility of contributing a collection of differentiable multi-objective optimization (MOO) test functions to the OptimizationProblems.jl repository. I have personally implemented ...
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