Could Southeast Asia become carbon neutral by 2050, even as energy demand increases? The region is growing quickly and still ...

A group of tech executives, app developers and Silicon Valley philosophers is seeking to streamline the messy matters of the ...

A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...

This is a graphical user interface (GUI) application built with Python and Tkinter, designed to solve linear programming problems using SciPy's optimization library (linprog). Generates a plot of the ...

Too many companies launch new products or services without a process for deeply understanding what their customers truly need. They make assumptions, rely on limited feedback, or develop ideas based ...

Abstract: Evolutionary algorithms have been proven effective in solving complex optimization problems. This paper proposes a production shape optimization framework, and a data-driven and ...

Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

CORPUS CHRISTI, Tx — The Sinton Future Problem Solvers are headed to Indiana for the International Future Problem-Solving Competition. The Sinton Future Problem Solvers group consists of three teams ...

This repository contains my solution for the KRITI 2025 Optimization Challenge, where I secured 2nd place. The competition featured a geometric optimization problem: maximize the net value of ...

Abstract: The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in ...