Abstract
In July I was fortunate enough to attend the 2nd Genetic Improvement workshop in Denver, hosted under the Genetic and Evolutionary Computing Conference (GECCO) umbrella. For those unaware, Genetic Improvement (or simply 'GI') is an emerging area of software engineering that attempts to use search-based techniques to improve code. I myself have spent much of the last two years emerging myself in GI literature and carrying out investigations relevant to the field. Even in this short time I have been privileged to witness it grow from the solving of toy problems to frameworks capable of outperforming human-driven manual alternatives (readers need look no further than the winners of this year's Humie awards). Events such as the GI workshop serve as a platform for ideas, research proposals, and new experimental results to be discussed. They fill a niche for those who wish to discuss research with others in a structured manner while avoiding the restrictive formalities of submitting to a conference or journal. Building on the success of the 1st workshop (hosted in Madrid last year) the event was extended to cover three consecutive sessions at the GECCO conference. Pleasingly attendance was high with an audience full of both familiar faces and curious newcomers.
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