Abstract
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.
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Czogalla, J., Fink, A. (2009). Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem. In: Stützle, T. (eds) Learning and Intelligent Optimization. LION 2009. Lecture Notes in Computer Science, vol 5851. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11169-3_8
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