The fitness landscape of the resource constrained project scheduling problem is investigated by examining the search space position type distribution and the correlation between the quality of a solution and its distance to an optimal solution. The suitability of the landscape for search with evolutionary computation and local search methods is discussed. Key words: Search algorithms, Fitness landscape analysis, Resource constrained project scheduling problem