I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

These are exciting times for computing, where context aware reasoning and domain specific compiler optimizations could represent an entirely new level of computing.

NOTE The rtc-tools repository has been migrated from gitlab to here; see migration from gitlab. RTC-Tools is an open-source Python package for simulation and optimization of cyber-physical systems. It ...

Optimization can progress from linear tradeoffs to network flow, constraints, and multi-variable optimization. Game theory can get quickly to Nash equilibria and strategy modeling. The key is to ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

Abstract: Characteristics of an evolutionary multi-objective optimization (EMO) algorithm can be explained using its best solution set. For example, the best solution set for SMS-EMOA is the same as ...

We develop a modular and tractable framework for solving an adaptive distributionally robust linear optimization problem, where we minimize the worst-case expected cost over an ambiguity set of ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

ABSTRACT: With the development of the domestic economy and the increase in household income, the demand for investment has been growing, and funds are widely favored for their safety and flexibility.

1 School of Mathematics and Statistics, Fuzhou University, Fuzhou, China. 2 College of Computer and Data Science, Fuzhou University, Fuzhou, China. In this paper, we use Physics-Informed Neural ...