ArXiv TLDR

Aneta Neumann

2 papers · Latest:

Neural & Evolutionary Computing

Greedy Approaches for Packing While Travelling with Deterministic and Stochastic Constraints

New greedy reward functions and a hyper-heuristic framework improve Packing While Travelling problem solutions for deterministic and stochastic constraints.

2604.13469
Neural & Evolutionary Computing

On the Use of Evolutionary Optimization for the Dynamic Chance Constrained Open-Pit Mine Scheduling Problem

This paper uses evolutionary optimization with a diversity-based change response to solve dynamic chance-constrained open-pit mine scheduling.

2604.13385

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