This repository implements a stable discrete-time analog solver for Mixed-Integer Nonlinear Programming (MINLP) problems, inspired by the continuous-time dynamics originally developed for Boolean ...

This project implements a series of artificial intelligence (AI) techniques to solve the Calcudoku puzzle. Calcudoku is a mathematical and logical puzzle, similar to Sudoku, where a grid is filled ...

Today, most of the engineering problems require dealing with multiple conflicting objectives instead of a single-objective. For such problems, the multi-objective optimization (MOO) is an efficient ...

(Phys.org) -- A Cornell scientist has come up with an algorithm that can sift through 10,000 pieces of a jigsaw in 24 hours to complete the puzzle. Andrew Gallagher at Cornell University in Ithaca, ...

The uncertainty of wind resources is one of the main reasons for wind abandonment. Considering the uncertainty of wind power prediction, a robust optimal dispatching model is proposed for the wind ...

Abstract: In this paper we propose the first effective automated, genetic algorithm (GA)-based jigsaw puzzle solver. We introduce a novel procedure of merging two "parent" solutions to an improved ...

Abstract: This article proposes the efficient post compression techniques to address redundancies existing in adaptive cross approximation (ACA) algorithm accelerated eddy current nondestructive ...

ABSTRACT: Efficient solvers for optimization problems are based on linear and semidefinite relaxations that use floating point arithmetic. However, due to the rounding errors, relaxation thus may ...