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STIMSMITH

Genetic Algorithm (GA)

Technique
First seen 7/14/2026
Last seen 7/14/2026
Evidence 3 chunks

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RELATIONSHIPS

6 connections
AI based SystemVerilog TB generation ← mentions 100% 2e
The paper discusses genetic algorithms as a prior approach to coverage-directed verification.
Coverage-Directed Generation (CDG) implements → 100% 2e
Genetic algorithms implement coverage-directed generation by optimizing test stimuli based on coverage feedback.
Automatic Generation of Validation Stimuli for Application-Specific Processors ← uses 100% 1e
Goloubeva et al. used a GA to generate validation stimuli for application-specific processors.
Design and Verification of SystemC Transaction-Level Models ← uses 100% 1e
Habibi and Tahar used a GA to enhance assertion coverage in SystemC simulation.
Automation and Optimization of Coverage-driven Verification ← uses 100% 1e
The paper proposes a GA-based approach for coverage-driven verification automation.
Cell-Based Genetic Algorithm (CGA) ← derived from 100% 1e
The CGA is a specialized variant of the GA that divides input domain into cells.