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Fitness landscape characterisation of optimisation problems: GECCO 2017 tutorial.

, , and . GECCO (Companion), page 435-449. ACM, (2017)

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Distributing Fibre Boards: A Practical Application of the Heterogeneous Fleet Vehicle Routing Problem with Time Windows and Three-dimensional Loading Constraints., , , and . ICCS, volume 51 of Procedia Computer Science, page 2257-2266. Elsevier, (2015)Scheduling for Optimal Response Times in Queues of Stochastic Workflows., , and . Australasian Conference on Artificial Intelligence, volume 8272 of Lecture Notes in Computer Science, page 502-513. Springer, (2013)Investigating the correlation between indicators of predictive diagnostic optimisation and search result quality., , and . Inf. Sci., (2016)No-but-semantic-match: computing semantically matched xml keyword search results., , , and . World Wide Web, 21 (5): 1223-1257 (2018)Identifying Features of Fitness Landscapes and Relating Them to Problem Difficulty., , and . Evol. Comput., 25 (3): 407-437 (2017)Concealed Contributors to Result Quality - The Search Process of Ant Colony System.. ACAL, volume 4828 of Lecture Notes in Computer Science, page 25-35. Springer, (2007)Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach., , and . CoRR, (2018)Combining search space diagnostics and optimisation., and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Designing and characterising fitness landscapes with various operators., , and . IEEE Congress on Evolutionary Computation, page 2766-2772. IEEE, (2013)Footprinting the Behaviour of Particle Swarm Optimization with Increasing Dimensionality., , and . LA-CCI, page 1-6. IEEE, (2023)