pith:6RVHCXYM
A multi-objective optimization framework for sustainable transitions
A framework using policy-target networks and evolutionary algorithms can optimize resource allocation to improve multiple conflicting sustainability targets simultaneously.
arxiv:2605.16174 v1 · 2026-05-15 · math.DS
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\pithnumber{6RVHCXYMTPJLTIMJ7N3MMYK5C7}
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Record completeness
Claims
The framework evaluates the holistic impact of policies on sustainability targets while capturing system interdependencies; increasing resources generally enhances performance but marginal gains stagnate at diminishing returns, and the system is primarily driven by budget constraint, network density, and policy efficacy.
That the interdependencies among policies and sustainability targets can be adequately captured by a policy-target network and that a dynamic evolutionary algorithm can reliably optimize resource allocation across the resulting multi-objective landscape.
Proposes a multi-objective optimization model using evolutionary algorithms and network analysis to optimize resource allocation across conflicting sustainability targets.
References
Receipt and verification
| First computed | 2026-05-20T00:01:56.184352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f46a715f0c9bd2b9a189fb76c6615d17c860738d4c7a923f995b2d3466eb1cd5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6RVHCXYMTPJLTIMJ7N3MMYK5C7 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f46a715f0c9bd2b9a189fb76c6615d17c860738d4c7a923f995b2d3466eb1cd5
Canonical record JSON
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