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GI Software with fewer Data Cache Misses
By their very name caches are often overlooked and yet play a vital role in the performance of modern and indeed future hardware.
Failed Disruption Propagation in Integer Genetic Programming
We inject a random value into the evaluation of highly evolved deep integer GP trees 9743720 times and find 99. 7percent Suggesting crossover and mutation's impact are dissipated and seldom propagate outside the program.
Genetic Improvement @ ICSE 2020
Following Prof. Mark Harman of Facebook's keynote and formal presentations (which are recorded in the proceedings) there was a wide ranging discussion at the eighth international Genetic Improvement workshop, GI-2020 @ ICSE (held as part of the 42nd ACM/IEEE International Conference on Software Engineering on Friday 3rd July 2020).
Fast Generation of Big Random Binary Trees
random_tree() is a linear time and space C++ implementation able to create trees of up to a billion nodes for genetic programming and genetic improvement experiments.
The State and Future of Genetic Improvement
We report the discussion session at the sixth international Genetic Improvement workshop, GI-2019 @ ICSE, which was held as part of the 41st ACM/IEEE International Conference on Software Engineering on Tuesday 28th May 2019.
