docs: correct disconnected-front and sequencing guidance from compare results
The `compare` harness contradicts two recommendations in the decision trees: - "Disconnected or non-convex front -> AGE-MOEA, KnEA, IBEA" had it backwards. Added KnEA to the ZDT3 table (the disconnected-front benchmark) so the claim is actually exercised: AGE-MOEA and KnEA finish *last and second-last*; IBEA wins, MOEA/D and NSGA-II follow. The trees now split "disconnected" from "non-convex contiguous", lead disconnected with IBEA, and note the geometry-aware methods trail when the front is in pieces. - The book filed Simulated Annealing on permutations as a "one-decision baseline" and led the JSS row with GA. On the harness SA *wins* the FT06 job-shop table and ties for the TSP optimum; SA/Tabu edge out the GA. Reframed SA/Tabu as strong sequencing methods. Also regenerated examples/compare-results.md for the new ZDT3 row. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -1574,6 +1574,29 @@ fn zdt3_age_moea(seed: u64) -> MoRun {
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}
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}
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fn zdt3_knea(seed: u64) -> MoRun {
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let problem = zdt3_problem();
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let bounds = vec![(0.0, 1.0); ZDT3_DIM];
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let initializer = RealBounds::new(bounds.clone());
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let variation = CompositeVariation {
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crossover: SimulatedBinaryCrossover::new(bounds.clone(), 15.0, 0.5),
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mutation: PolynomialMutation::new(bounds, 20.0, 1.0 / ZDT3_DIM as f64),
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};
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let pop = 100;
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let config = KneaConfig {
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population_size: pop,
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generations: ZDT3_BUDGET / pop,
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seed,
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};
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let mut opt = Knea::new(config, initializer, variation);
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let t0 = Instant::now();
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let result = opt.run(&problem);
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MoRun {
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front: result.pareto_front,
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wall_ms: t0.elapsed().as_millis(),
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}
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}
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// -----------------------------------------------------------------------------
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// DTLZ1 runners (curated many-obj subset)
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// -----------------------------------------------------------------------------
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@@ -1998,6 +2021,7 @@ fn run_zdt3_comparison() {
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("MOEA/D", zdt3_moead),
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("IBEA", zdt3_ibea),
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("AGE-MOEA", zdt3_age_moea),
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("KnEA", zdt3_knea),
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];
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let mut rows: Vec<(f64, Vec<String>)> = Vec::new();
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for (name, runner) in runners {
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