Our very own algorithm specialist Dr Behrooz alongside colleagues from RMIT University will be presenting their latest research at GECCO 2024.

Since 1999, the Genetic and Evolutionary Computation Conference (GECCO) has presented the latest high-quality results in genetic and evolutionary computation.

GEECO 2024

Their paper addresses the optimisation of network flow problems, specifically “multi-objective integer minimum cost flow problems” or MOIMCFPs.  These are the most common network flow problem in the optimisation area. The applications of MOIMCFPs span across a wide range of domains such as manufacturing, scheduling, and transportation problems.

This particular paper proposes an evolutionary algorithmic approach to solve the MOIMCFP, incorporating user preferences and nonlinear cost functions. The preference-based evolutionary algorithm leverages preference-based information. This has been shown to have significantly lower computational runtime costs compared to conventional multi-objective algorithms. Preference-based evolutionary multi-objective algorithms can be applied to solve complex, large-scale network flow problems in various real-world scenarios such as scheduling, telecommunication networks, and supply chain and logistics.

Congratulations to Dr Behrooz and his colleagues on having their paper accepted. Good Luck with your presentation at the Genetic and Evolutionary Computation Conference – GECCO 2024.