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Genetic Improvement: Taking real-world source code and improving it using computational search methods.

, , , and . GECCO Companion, page 1197-1230. ACM, (2024)

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Predicting the energy output of wind farms based on weather data: Important variables and their correlation, , , and . Renewable Energy, (February 2013)A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search., , , and . CoRR, (2019)Beyond the Edge of Feasibility: Analysis of Bottlenecks., , and . SEAL, volume 8886 of Lecture Notes in Computer Science, page 431-442. Springer, (2014)Fast and Effective Multi-objective Optimisation of Submerged Wave Energy Converters., , , and . PPSN, volume 9921 of Lecture Notes in Computer Science, page 675-685. Springer, (2016)Sensitivity of Parameter Control Mechanisms with Respect to Their Initialization., and . PPSN (2), volume 11102 of Lecture Notes in Computer Science, page 360-372. Springer, (2018)Optimal offering strategy for an aggregator across multiple products of European day-ahead market., , , and . ISGT-Europe, page 1-6. IEEE, (2022)Evaluating Information Visualization on Mobile Devices: Gaps and Challenges in the Empirical Evaluation Design Space., , , , , and . BELIV, page 125-132. ACM, (2016)Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance., , , and . CEC, page 1330-1337. IEEE, (2019)Optimising Energy Consumption Heuristically on Android Mobile Phones., and . GECCO (Companion), page 1139-1140. ACM, (2016)A survey of genetic improvement search spaces., , , , , and . GECCO (Companion), page 1715-1721. ACM, (2019)