Abstract: Meta-heuristic algorithms, especially evolutionary algorithms, have been frequently used to find near optimal solutions to combinatorial optimization problems. The evaluation of such ...

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...

We introduce the generalized Probabilistic Approximate Optimization Algorithm (PAOA), a classical variational Monte Carlo framework that extends and formalizes the recently introduced PAOA, enabling ...

Bit of advice needed for an old fart (me). I'm going to conduct an algorithm experiment live on air. Sort of. I basically have one go at this to get it right so I want to make sure I do it in good ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Mass, heat and power integration between chemical processes ...

Abstract: A common goal in evolutionary multiobjective optimization is to find suitable finite-size approximations of the Pareto front of a given multiobjective optimization problem. While many ...

With the increasing penetration of electric vehicles (EVs) in road traffic, the spatial and temporal stochasticity of the travel pattern and charging demand of EVs as a mode of transportation and an ...

Dedicated to the late Professor M. J. D. Powell FRS (1936–2015). To use the Python version of PDFO on Linux, Mac, or Windows, you need Python (version 3.8 or above). It is highly recommended to ...

In the dynamic realm of engineering, innovation is the key driver of progress. With Artificial Intelligence (AI) leading the charge, traditional approaches are being transformed, opening new pathways ...

Addressing the challenge of efficiently solving multi-objective optimization problems (MOP) and attaining satisfactory optimal solutions has always posed a formidable task. In this paper, based on the ...

PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's renowned derivative-free optimization methods, i ...