127 citations · 434 across the 18 of their papers we have counts for
Showing 2019Show all
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cs.NE2019★ 8 cited
Optimising Optimisers with Push GP
Michael Lones
This work uses Push GP to automatically design both local and population-based optimisers for continuous-valued problems. The optimisers are trained on a single function optimisati…
cs.NE2019★ 8 cited
Instruction-Level Design of Local Optimisers using Push GP
Michael Lones
This work uses genetic programming to explore the design space of local optimisation algorithms. Optimisers are expressed in the Push programming language, a stack-based language w…
cs.NE2019★ 84 cited
Mitigating Metaphors: A Comprehensible Guide to Recent Nature-Inspired Algorithms
Michael Adam Lones
In recent years, a plethora of new metaheuristic algorithms have explored different sources of inspiration within the biological and natural worlds. This nature-inspired approach t…