#maxsat — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #maxsat, aggregated by home.social.
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MOSA-EA introduced by Xiaoyu Qin and myself is an #evolutionaryalgorithm for hard combinatorial optimisation problems. It builds on a decade of theoretical research on non-elitist, self-adaptive, population-based evolutionary algorithms.
It has excellent performance, particularly on random #MAXSAT and #NKlandscape problem instances.
Python and C/C++ source code available here:
https://github.com/ChengCheng-Qin/mosa-ea -
MOSA-EA introduced by Xiaoyu Qin and myself is an #evolutionaryalgorithm for hard combinatorial optimisation problems. It builds on a decade of theoretical research on non-elitist, self-adaptive, population-based evolutionary algorithms.
It has excellent performance, particularly on random #MAXSAT and #NKlandscape problem instances.
Python and C/C++ source code available here:
https://github.com/ChengCheng-Qin/mosa-ea -
MOSA-EA introduced by Xiaoyu Qin and myself is an #evolutionaryalgorithm for hard combinatorial optimisation problems. It builds on a decade of theoretical research on non-elitist, self-adaptive, population-based evolutionary algorithms.
It has excellent performance, particularly on random #MAXSAT and #NKlandscape problem instances.
Python and C/C++ source code available here:
https://github.com/ChengCheng-Qin/mosa-ea -
MOSA-EA introduced by Xiaoyu Qin and myself is an #evolutionaryalgorithm for hard combinatorial optimisation problems. It builds on a decade of theoretical research on non-elitist, self-adaptive, population-based evolutionary algorithms.
It has excellent performance, particularly on random #MAXSAT and #NKlandscape problem instances.
Python and C/C++ source code available here:
https://github.com/ChengCheng-Qin/mosa-ea