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 ...
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 ...
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 ...
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