A multi-objective optimization algorithm inspired by chaos game dynamics outperformed four standard metaheuristic techniques ...

Computer scientists have developed an adaptive framework combining federated learning, recurrent neural networks, and ...

In the manufacturing and logistics industries, various products and raw materials are moved every day.For example, let's consider a scenario where products manufactured at three factories are ...

Learning the Mathematical Models Behind Decision Making, Part 2Last time, we walked through a shopping street early in the ...

For waste collection and recycling vehicles, an efficient route is not simply the shortest line between stops. It is also an ...

This section reviews the current literature on multi-criteria decision-making (MCDM) methods in sustainable energy planning, ...

Researchers present a new adaptive qubit encoding method for Continuous-Variable Quantum Optimization on qubit-based machines ...

Survey finds GenAI use is on the rise as organizations embed optimization deeper into everyday operations. Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the ...

NVIDIA introduces a multi-GPU solver for decision optimization, scaling to 100 million variables and beyond, promising faster ...

Manon Perrignon, Magalie Houée-Bigot, Romain Jeantet, Thomas Croguennec and Mathieu Emily (September 2026). Comparative analysis of stopping criteria for multi-objective evolutionary algorithms: from ...

As evolved from a tactical logistics function into one of the most important drivers of operational efficiency across modern delivery networks. A decade ago, route planning was primarily about finding ...