|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes|
|Citation:||McMenemy P, Veerapen N & Ochoa G (2018) How Perturbation Strength Shapes the Global Structure of TSP Fitness Landscapes In: , Cham, Switzerland: Springer. EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, 4.4.2018 - 6.4.2018, Parma, Italy.|
|Series/Report no.:||Lecture Notes in Computer Science|
|Conference Name:||EvoCOP 2018 - The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation|
|Conference Location:||Parma, Italy|
|Abstract:||Local optima networks are a valuable tool used to analyse and visualise the global structure of combinatorial search spaces; in particular, the existence and distribution of multiple funnels in the landscape. We extract and analyse the networks induced by Chained-LK, a powerful iterated local search for the TSP, on a large set of randomly generated (Uniform and Clustered) instances. Results indicate that increasing the perturbation strength employed by Chained-LK modifies the landscape's global structure, with the effect being markedly different for the two classes of instances. Our quantitative analysis shows that several funnel metrics have stronger correlations with Chained-LK success rate than the number of local optima, indicating that global structure clearly impacts search performance.|
|Status:||Book Chapter: author post-print (pre-copy editing)|
|Rights:||This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
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