NEFeb 7, 2017

Multitask Evolution with Cartesian Genetic Programming

arXiv:1702.02217v26 citations
Originality Incremental advance
AI Analysis

This work addresses a problem for researchers in evolutionary computation and circuit design, but it appears incremental as it builds on existing genetic programming methods.

The paper tackled the problem of solving multiple Boolean circuit synthesis tasks simultaneously by introducing a genetic programming method, achieving a result of solving a set of elementary logic functions twice as easily compared to a direct, single-task approach.

We introduce a genetic programming method for solving multiple Boolean circuit synthesis tasks simultaneously. This allows us to solve a set of elementary logic functions twice as easily as with a direct, single-task approach.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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