Call for Special Session Proposals:
Accepted Special Sessions:
Optimisation and Heuristics
In recent years, there has been a growing interest in a number of heuristic techniques, including genetic algorithms, simulated annealing, tabu search and hyper-heuristic methods for a variety of hard computational optimisation problems. The aim of this special session is to bring together researchers and practitioners to discuss high quality research on heuristic methods for optimisation problems, which can include (but are not limited to) routing, cutting, packing, placement, graph theoretical, timetabling and scheduling problems. General purpose approaches used for automated generation of heuristics for solving single and multi-objective problems are also of particular interest.
Topics of interest include (but are not limited to):
- Metaheuristics for optimisation problem.
- Hyperheuristics for optimisation problem.
- Solution representation techniques.
- Performance comparisons between different heuristic and/or exact methods.
- Hybrid techniques.
Organiser: Dr Ahmed Kheiri , Lancaster University