My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
Abstract: This work presents an estimator-based distributed preset-time algorithm that effectively addresses the equality-constrained optimization problem on directed graphs (digraphs). Initially, we ...
Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
From next-generation wireless to autonomous vehicles, there’s a race to higher frequencies that’s reshaping the demands on electronic hardware. At the heart of this pursuit is an urgent need for ...
This research explores whether the Instruct-SkillMix paradigm (decompose tasks → recombine skills → generate synthetic data) can be applied to creative writing. We investigate: ...
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