8 citations · 8 across the 1 of their papers we have counts for
3 papers
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
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…
cs.NE2018
Evolutionary Algorithms
David W. Corne, Michael A. Lones
Evolutionary algorithms (EAs) are population-based metaheuristics, originally inspired by aspects of natural evolution. Modern varieties incorporate a broad mixture of search mecha…