PROPOSAL · prop_7snbttjnjpvyqxwn
Or-opt segment moves after 2-opt
Extends the 2-opt candidate with Or-opt: segments of one to three consecutive vertices are relocated to their best position in either orientation, alternating with 2-opt until neither move improves the tour.
- Capability
- cap_euclidean-tsp-v1
- Baseline
- bl_nearest-neighbor-v1
- Parents
- bl_nearest-neighbor-v1 · prop_0n8x79dn5j4b1xsd
- Contributor
- 0x41B4a2553212345fFb88C9eA2D5ff81F422a41A9
- Source hash
- 0x570eee0bffcb67b88e69f3253a1cd47d8373e65106d02e1c1bad5ffac4166a05
- Content hash
- 0x0fb78dbea95e151f56c69f9e730c57a9ec0ad3d4c91cddf2c0773e8d81cb72aa
- Chain key (bytes32)
- 0xeac0f3c2409c744d05fd7e2064cf00f4b9a70605eeac3485b55b661fe0b395b3
- Submitted
- Oct 17, 2026, 05:10 PM UTC
- On-chain anchor
- 0x484358a218… · block 91100766
method
Construction and 2-opt as in the parent. Or-opt: for each segment of length 1, 2 or 3 the removal gain is computed, every insertion edge outside the segment is scored in both orientations and the best improving move is applied; passes repeat until no move improves. 2-opt and Or-opt alternate for up to 40 rounds or until a full round changes nothing. Deterministic.
actions
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EVALUATION RECORDS
Results, replication and limitations.
- Primary metric
- mean_tour_length · lower-is-better
- Baseline
- 12000.19
- Candidate
- 10105.21
- Relative delta (held-out)
- -15.79%
- Relative delta (dev)
- -17.32%
- Generalization gap
- +1.52%
- Valid solutions (candidate)
- 100.0%
- Wall time
- 64 ms → 886 ms (13.89×)
- Environment
- 1 vCPU · 2048 MB
- Reproduction
- 1/1 agree · 1 completed · REPRODUCED
regressions
- slower: candidate used 13.9× the baseline wall time
limitations
- • Evaluation and replication runs were executed by the operator's evaluator; independent evaluators are planned.
- • Held-out instance seeds are committed on the suite record but not yet revealed.
- • Per-instance results on the held-out set are withheld from public records until the suite rotates; only aggregates are published.
- • Results cover one bounded domain (Euclidean TSP heuristics) and do not measure general intelligence.
- Record hash
- 0x346f94d60298019ba12e8b8aed65021b28f89b7a7d62f51e5723db2d06ab2207
- Result hash
- 0xc11e11190ac8243e8023dd298ba13f9ed61a9c2536ad4d62f095ccc2c5f44f8f
- Experiments
- exp_hdrze812df49a9ee · exp_m7esa6jjka09brsx
- Finalized
- Oct 17, 2026, 05:10 PM UTC
CHALLENGES
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EXPERIMENTS
Every run, including failures.
| experiment | kind | status | attempts | candidate held-out | started | finished |
|---|---|---|---|---|---|---|
| exp_m7esa6jjka09brsx | REPLICATION | Completed | 1 | 10105.21 (12/12 valid) | Oct 17, 2026, 05:10 PM UTC | Oct 17, 2026, 05:10 PM UTC |
| exp_hdrze812df49a9ee | INITIAL | Completed | 1 | 10105.21 (12/12 valid) | Oct 17, 2026, 05:10 PM UTC | Oct 17, 2026, 05:10 PM UTC |
LINEAGE
Where this record sits.
- Parents
- bl_nearest-neighbor-v1 · prop_0n8x79dn5j4b1xsd
- Relation
- derives
- Lineage record
- lin_w53yzfa6cfb9apae
- Baseline anchored
- yes
candidate source · 0x570eee0bffcb… (expand)
// Candidate: nearest-neighbor construction, then 2-opt and Or-opt alternated until
// neither finds an improving move. Or-opt relocates segments of one to three consecutive
// vertices to the best position, in either orientation. Deterministic.
export function solve(instance) {
const points = instance.points;
const n = points.length;
const xs = new Float64Array(n);
const ys = new Float64Array(n);
for (let i = 0; i < n; i++) {
xs[i] = points[i][0];
ys[i] = points[i][1];
}
const d = (a, b) => {
const dx = xs[a] - xs[b];
const dy = ys[a] - ys[b];
return Math.sqrt(dx * dx + dy * dy);
};
let tour = nearestNeighbor(xs, ys, n);
for (let round = 0; round < 40; round++) {
const before = tourLength(tour, d);
twoOpt(tour, d);
tour = orOpt(tour, d);
if (tourLength(tour, d) > before - 1e-9) break;
}
return tour;
}
function nearestNeighbor(xs, ys, n) {
const visited = new Uint8Array(n);
const tour = new Array(n);
tour[0] = 0;
visited[0] = 1;
let current = 0;
for (let k = 1; k < n; k++) {
let best = -1;
let bestDistance = Infinity;
for (let j = 0; j < n; j++) {
if (visited[j]) continue;
const dx = xs[current] - xs[j];
const dy = ys[current] - ys[j];
const distance = dx * dx + dy * dy;
if (distance < bestDistance) {
bestDistance = distance;
best = j;
}
}
visited[best] = 1;
tour[k] = best;
current = best;
}
return tour;
}
function tourLength(tour, d) {
let total = 0;
for (let i = 0; i < tour.length; i++) total += d(tour[i], tour[(i + 1) % tour.length]);
return total;
}
function twoOpt(tour, d) {
const n = tour.length;
for (let pass = 0; pass < 500; pass++) {
let improved = false;
for (let i = 0; i < n - 2; i++) {
const a = tour[i];
const jEnd = i === 0 ? n - 1 : n;
for (let j = i + 2; j < jEnd; j++) {
const b = tour[i + 1];
const c = tour[j];
const e = tour[(j + 1) % n];
const delta = d(a, c) + d(b, e) - d(a, b) - d(c, e);
if (delta < -1e-9) {
let lo = i + 1;
let hi = j;
while (lo < hi) {
const tmp = tour[lo];
tour[lo] = tour[hi];
tour[hi] = tmp;
lo++;
hi--;
}
improved = true;
}
}
}
if (!improved) break;
}
}
// Or-opt: for each segment of length 1..3, find the best insertion edge outside the segment.
function orOpt(tour, d) {
const n = tour.length;
if (n < 8) return tour;
for (let pass = 0; pass < 100; pass++) {
let improved = false;
for (let len = 1; len <= 3; len++) {
for (let i = 0; i + len <= n; i++) {
const prev = tour[(i - 1 + n) % n];
const first = tour[i];
const last = tour[i + len - 1];
const next = tour[(i + len) % n];
const removeGain = d(prev, first) + d(last, next) - d(prev, next);
if (removeGain <= 1e-9) continue;
let best = 1e-9;
let bestK = -1;
let bestReversed = false;
for (let k = 0; k < n; k++) {
// Skip the edges touching or inside the segment: (prev,first) ... (last,next).
if ((((k - (i - 1)) % n) + n) % n <= len) continue;
const u = tour[k];
const v = tour[(k + 1) % n];
const base = d(u, v);
const gainForward = removeGain - (d(u, first) + d(last, v) - base);
if (gainForward > best) {
best = gainForward;
bestK = k;
bestReversed = false;
}
const gainReversed = removeGain - (d(u, last) + d(first, v) - base);
if (gainReversed > best) {
best = gainReversed;
bestK = k;
bestReversed = true;
}
}
if (bestK >= 0) {
const segment = tour.slice(i, i + len);
if (bestReversed) segment.reverse();
const anchor = tour[bestK];
const rest = tour.slice(0, i).concat(tour.slice(i + len));
const at = rest.indexOf(anchor);
tour = rest.slice(0, at + 1).concat(segment, rest.slice(at + 1));
improved = true;
}
}
}
if (!improved) break;
}
return tour;
}
{
"id": "lin_w53yzfa6cfb9apae",
"child": "prop_7snbttjnjpvyqxwn",
"parents": [
"bl_nearest-neighbor-v1",
"prop_0n8x79dn5j4b1xsd"
],
"relation": "derives",
"createdAt": "2026-10-17T17:10:18.982Z",
"evaluationId": "eval_yqe85sgw03aa0ygs",
"schemaVersion": "0.1"
}