Limited precision floating point computer implementations of large polynomial arithmetic expressions are nonlinear and dissipative. They are not reversible (irreversible, lack conservation), lose information, and so are robust to perturbations (anti-fragile) and resilient to fluctuations. This gives a largely stable locally flat evolutionary neutral fitness search landscape. Thus even with a large number of test cases, both large and small changes deep within software typically have no effect and are invisible externally. Shallow mutations are easier to detect but their RMS error need not be simple
Over the last years, neutrality has inspired many researchers in the area of Evolutionary Computati...
most powerful distributed computing systems in the world. Such an architecture bases on volunteer co...
Graduation date: 2017Mutation analysis is the gold standard for evaluating\ud test-suite adequacy. I...
We sample the genetic programming tree search space and show it is smooth, since many mutations on m...
We inject a random value into the evaluation of highly evolved deep integer GP trees 9 743 720 times...
Kimura's neutral theory of evolution has inspired researchers from the evolutionary computation comm...
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to...
High order mutation analysis of a software engineering benchmark, including schema and local optima ...
Information theory explains the robustness of deep GP trees, with on average up to 83.3% of crossove...
High order mutation analysis of a software engineering benchmark, including schema and local optima ...
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to...
Using multiobjective genetic programming with a complexity objective to overcome tree bloat is usual...
We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genom...
Kimura’s neutral theory of evolution has inspired researchers from the evolutionary computation comm...
We use the minimal instruction set F-4 computer to define a minimal Turing complete T7 computer suit...
Over the last years, neutrality has inspired many researchers in the area of Evolutionary Computati...
most powerful distributed computing systems in the world. Such an architecture bases on volunteer co...
Graduation date: 2017Mutation analysis is the gold standard for evaluating\ud test-suite adequacy. I...
We sample the genetic programming tree search space and show it is smooth, since many mutations on m...
We inject a random value into the evaluation of highly evolved deep integer GP trees 9 743 720 times...
Kimura's neutral theory of evolution has inspired researchers from the evolutionary computation comm...
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to...
High order mutation analysis of a software engineering benchmark, including schema and local optima ...
Information theory explains the robustness of deep GP trees, with on average up to 83.3% of crossove...
High order mutation analysis of a software engineering benchmark, including schema and local optima ...
We evolve floating point Sextic polynomial populations of genetic programming binary trees for up to...
Using multiobjective genetic programming with a complexity objective to overcome tree bloat is usual...
We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genom...
Kimura’s neutral theory of evolution has inspired researchers from the evolutionary computation comm...
We use the minimal instruction set F-4 computer to define a minimal Turing complete T7 computer suit...
Over the last years, neutrality has inspired many researchers in the area of Evolutionary Computati...
most powerful distributed computing systems in the world. Such an architecture bases on volunteer co...
Graduation date: 2017Mutation analysis is the gold standard for evaluating\ud test-suite adequacy. I...