The Matheuristic methods aim to exploit mathematical programming techniques, and exact algorithms and solvers in a heuristic framework. Indeed, they utilise the benefits of both heuristics and exact methods in an integrated approach. Heuristics and meta-heuristics have been originally proposed and developed when exact algorithms and solvers were not an efficient as today. In particular, customised MIP codes and available optimisation solvers such as CPLEX, Gurobi, and SCIP have greatly improved in recent years, and making solver based heuristic algorithms significantly faster and effective.
In this session we invite researchers to present their work on development of Matheuristic methods and their real applications in various domains such as resource planning, scheduling, logistics and transportation, and supply chain management, among others.
Key topics: Heuristic, Matheuristic, Scheduling, Logistics and supply chain