Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Multiplayer: A multiplayer algorithm uses many simultaneous TS points to direct the next player move. Multiplayer algorithms (particle swarm, leapfrogging, differential evolution) broadly explore the ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

We give a branch-and-cut algorithm for solving linear programs (LPs) with continuous separable piecewise-linear cost functions (PLFs). Models for PLFs use continuous variables in special-ordered sets ...

In an era where autonomous systems demand pinpoint accuracy, navigation algorithms face a tough trade-off between precision ...

MicroAlgo Inc. announced the QIRO algorithm for quantum-combinatorial optimization, enhancing efficiency in complex problem solving.

ExxonMobil and IBM's researchers have been working together to find quantum algorithms that could manage the global fleet of merchant ships.