μGP

Tool

First seen 7/7/2026

Last seen 7/7/2026

Evidence 4 chunks

NEIGHBORHOOD

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17 connections

G. Squillero authored by → 97% 2e

G. Squillero is identified as the main author of μGP.

μGP generates assembly-language programs as its primary function.

μGP is classified as a feedback-based approach for test generation.

test program generation implements → 97% 2e

μGP is specifically designed for generating test programs for microprocessor cores.

The μGP approach exploits hardware acceleration techniques to evaluate individuals.

Tournament size self-adaptation was added to μGP's evolutionary core.

A local mutation operator was added to μGP to search nearby solution space.

Individual Aging uses → 95% 2e

Individual aging was added as a capability to μGP.

μGP allows user option of choosing elite population size.

Elitism uses → 92% 2e

μGP's original core implements a distinctly elitist strategy.

SPARCv8 evaluates → 97% 2e

The experimental evaluation of μGP was performed on a SPARCv8 microprocessor.

Turing-Complete Program implements → 95% 1e

μGP generates Turing-complete programs.

μGP evaluates stuck-at fault coverage in pipeline registers.

Evolutionary Algorithm implements → 98% 1e

μGP is described as an evolutionary algorithm for generating assembly programs.

The MicroGP paper introduces the μGP evolutionary assembly program generator.

Politecnico di Torino authored by → 85% 1e

μGP was developed at Politecnico di Torino.

Fitness Function uses → 90% 1e

μGP uses a fitness function to evaluate individuals during evolution.