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Generating Easy and Hard Problems using the Proximate Optimality Principle.

, , and . GECCO (Companion), page 767-768. ACM, (2015)

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Minimal walsh structure and ordinal linkage of monotonicity-invariant function classes on bit strings., , and . GECCO, page 333-340. ACM, (2014)Multi-objective evolutionary design of antibiotic treatments., , , and . Artif. Intell. Medicine, (2020)Decentralized Combinatorial Optimization.. PPSN (1), volume 12269 of Lecture Notes in Computer Science, page 360-372. Springer, (2020)On Discovering Optimal Trade-Offs When Introducing New Routes in Existing Multi-modal Public Transport Systems., , , and . EUROCAST, volume 13789 of Lecture Notes in Computer Science, page 104-111. Springer, (2022)The role of Walsh structure and ordinal linkage in the optimisation of pseudo-Boolean functions under monotonicity invariance.. Robert Gordon University, Aberdeen, UK, (2016)British Library, EThOS.Explaining a Staff Rostering Genetic Algorithm using Sensitivity Analysis and Trajectory Analysis., , , and . GECCO Companion, page 1648-1656. ACM, (2023)Generating Easy and Hard Problems using the Proximate Optimality Principle., , and . GECCO (Companion), page 767-768. ACM, (2015)Partial structure learning by subset walsh transform., , and . UKCI, page 128-135. IEEE, (2013)Optimising the introduction of connected and autonomous vehicles in a public transport system using macro-level mobility simulations and evolutionary algorithms., , , and . GECCO Companion, page 315-316. ACM, (2021)Interpolated continuous optimisation problems with tunable landscape features., , and . GECCO (Companion), page 169-170. ACM, (2017)