Challenge Entry, 2026
EvoAgent
An evolutionary optimization framework developed for the SSBSE 2026 Search-Based Software Engineering Challenge.
Overview
EvoAgent is an evolutionary optimization framework developed for the Search-Based Software Engineering (SBSE) Challenge at SSBSE 2026. It applies population-based search to optimise solutions against the challenge's objectives.
Approach
- Evolutionary search over candidate solutions with problem-specific operators.
- Multi-objective optimization to balance competing quality criteria.
- Built to the SSBSE 2026 SBSE Challenge specification.