Abstract: The finite resources of automated guided vehicles (AGVs) and machines in a flexible manufacturing system necessitate the integrated scheduling of production and transportation tasks to ...

ABSTRACT: This paper introduces a methodology that enables the relational learning framework to incorporate quantitative data derived from experimental studies in microbial ecology. The focus of using ...

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems. The open source ...

Abstract: COLREG sets maritime navigation safety rules that are defined to be human-interpretable. With the advent of autonomous surface vehicles (ASVs), the level of detail of the rules and ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

ABSTRACT: This paper focuses on the low production line balance rate and prominent bottleneck processes in smoothie machine production line. It employs industrial engineering methodologies to conduct ...

We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework.

A.I. tools from Microsoft and other companies are helping write code, placing software engineers at the forefront of the technology’s potential to disrupt the work force. By Steve Lohr Steve Lohr has ...