Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
Proceedings of the First European Workshop on Genetic Programming
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
The Immune System as a Reactive System: Modeling T Cell Activation With Statecharts
HCC '01 Proceedings of the IEEE 2001 Symposia on Human Centric Computing Languages and Environments (HCC'01)
The Push3 execution stack and the evolution of control
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A developmental genetics-inspired approach to robot control
GECCO '05 Proceedings of the 7th annual workshop on Genetic and evolutionary computation
Human-Competitive Evolution of Quantum Computing Artefacts by Genetic Programming
Evolutionary Computation
Using feedback to regulate gene expression in a developmental control architecture
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Evolution of a subsumption architecture neurocontroller
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - AILS '04
Multi-agent learning of heterogeneous robots by evolutionary subsumption
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Evolving fractal gene regulatory networks for graceful degradation of software
Self-star Properties in Complex Information Systems
Communicating mobile processes
CSP'04 Proceedings of the 2004 international conference on Communicating Sequential Processes: the First 25 Years
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
Grand challenge 7: journeys in non-classical computation
VoCS'08 Proceedings of the 2008 international conference on Visions of Computer Science: BCS International Academic Conference
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Classical evolutionary algorithms have been extremely successful at solving certain problems. But they implement a very simple model of evolutionary biology that misses out several aspects that might be exploited by more sophisticated algorithms. We have previously critiqued the traditional naïve approach to bio-inspired algorithm design, that moves straight from a simplistic description of the biology into some algorithm. Here we present a process for developing richer evolutionary algorithms abstracted from various processes of biological evolution, with a corresponding richer analogical computational structure, and indicate how that might be further abstracted.