AI firm Harmonic claims its system Aristotle, aided by GPT-5.2 Pro, solved long-standing problems posed by Paul Erdos. Some hail this as real research progress, while skeptics like Terence Tao argue ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Low-code and modular programming environments are transforming PLC programming, with vendors providing pre-packaged libraries and objects that eliminate traditional IEC-61131-3 style coding, allowing ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

Abstract: This paper demonstrates how an integer programming-based real-time scheduling heuristic approach can be applied for semiconductor manufacturing. Two integer programming formulations of a ...

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 ...

Convert a decimal number into binary representation.

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Integer programming (IP) is a powerful tool used to solve optimization problems with discrete variables. This means the variables can only take on whole number values, representing real-world ...