
doi: 10.1109/ems.2011.14
In this paper the fitness landscape of a simulation optimisation problem is analysed within the metaheuristic optimisation framework Heuristic Lab. Computational experiments are performed within an application prototype of a link between the model of a vehicle scheduling problem and the optimisation framework. Modern fitness landscape analysis approaches implemented in the Heuristic Lab framework are applied and described. New insights are gained in the field of fitness landscapes analysis for stochastic problems. Application of fitness landscape analysis in simulation optimisation for meta-optimisation purposes is also considered in this paper. Comprehensive fitness landscape analysis of different instances of one type of optimisation problem and its results in comparison with results of optimisation experiments allows determining the impact of different landscape structures on the behaviour of different metaheuristic optimisation algorithms.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 4 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
