HeurEvo structures algorithm design as a plan–code–component co-evolution.
Jointly evolving algorithmic plans and code yields fast hybrid optimizers
HeurEvo automates the design of solver-augmented heuristics by co-evolving high-level structure, implementation, and reusable components, matching or beating long-running solvers on diverse benchmarks.
Big Tech
Feijie Wu · Hugo Barbalho · Konstantina Mellou · Marco Molinaro · Jing Gao · Ishai Menache · +2 more
Purdue University · Microsoft Research
Research Digest··3 min read
The authors propose HeurEvo, an automated framework that co-evolves algorithmic plans, executable code, and a shared component pool to generate hybrid optimization algorithms.
Why this paper
From Microsoft Research and Purdue University
In one line
HeurEvo jointly evolves algorithmic plans, code, and reusable components to design hybrid solver-augmented heuristics that perform well under tight runtime budgets.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ·No benchmark numbers found
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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