diff --git a/tig-algorithms/src/knapsack/knapsplatt/README.md b/tig-algorithms/src/knapsack/knapsplatt/README.md
new file mode 100644
index 0000000..5344ee2
--- /dev/null
+++ b/tig-algorithms/src/knapsack/knapsplatt/README.md
@@ -0,0 +1,23 @@
+# TIG Code Submission
+
+## Submission Details
+
+* **Challenge Name:** knapsack
+* **Submission Name:** knapsplatt
+* **Copyright:** 2025 Jeeperz
+* **Identity of Submitter:** Jeeperz
+* **Identity of Creator of Algorithmic Method:** null
+* **Unique Algorithm Identifier (UAI):** null
+
+## License
+
+The files in this folder are under the following licenses:
+* TIG Benchmarker Outbound License
+* TIG Commercial License
+* TIG Inbound Game License
+* TIG Innovator Outbound Game License
+* TIG Open Data License
+* TIG THV Game License
+
+Copies of the licenses can be obtained at:  
+https://github.com/tig-foundation/tig-monorepo/tree/main/docs/licenses
\ No newline at end of file
diff --git a/tig-algorithms/src/knapsack/knapsplatt/mod.rs b/tig-algorithms/src/knapsack/knapsplatt/mod.rs
new file mode 100644
index 0000000..6613bed
--- /dev/null
+++ b/tig-algorithms/src/knapsack/knapsplatt/mod.rs
@@ -0,0 +1,674 @@
+use anyhow::Result;
+use serde_json::{Map, Value};
+use std::cmp::Ordering;
+use tig_challenges::knapsack::*;
+
+#[derive(Clone, Copy)]
+struct Params {
+    diff_lim: usize,
+    core_half_dp: usize,
+    core_half_ls: usize,
+    n_maxils: usize,
+    polish_k: usize,
+}
+impl Params {
+    fn for_problem_size(num_items: usize) -> Self {
+        let n_maxils = if num_items <= 600 {
+            3
+        } else if num_items <= 800 {
+            4
+        } else {
+            5
+        };
+
+        Self {
+            diff_lim: 4,
+            core_half_dp: 30,
+            core_half_ls: 35,
+            n_maxils,
+            polish_k: 10,
+        }
+    }
+}
+impl Default for Params {
+    fn default() -> Self {
+        Self::for_problem_size(400)
+    }
+}
+
+#[inline]
+fn weight_of(ch: &Challenge, items: &[usize]) -> i64 {
+    items.iter().map(|&i| ch.weights[i] as i64).sum()
+}
+
+fn round0_scores(ch: &Challenge, out: &mut [i32]) {
+    let n = ch.difficulty.num_items;
+    for i in 0..n {
+        let row_sum: i32 = ch.interaction_values[i].iter().sum();
+        out[i] = ch.values[i] as i32 + row_sum;
+    }
+}
+
+struct State<'a> {
+    ch: &'a Challenge,
+    selected_bit: Vec<bool>,
+    contrib: Vec<i32>,
+    total_value: i64,
+    total_weight: i64,
+}
+
+impl<'a> State<'a> {
+    fn new_empty(ch: &'a Challenge) -> Self {
+        let n = ch.difficulty.num_items;
+        let mut contrib = vec![0i32; n];
+        for i in 0..n {
+            contrib[i] = ch.values[i] as i32;
+        }
+        Self {
+            ch,
+            selected_bit: vec![false; n],
+            contrib,
+            total_value: 0,
+            total_weight: 0,
+        }
+    }
+    fn selected_items(&self) -> Vec<usize> {
+        (0..self.ch.difficulty.num_items)
+            .filter(|&i| self.selected_bit[i])
+            .collect()
+    }
+    #[inline]
+    fn capacity(&self) -> i64 {
+        self.ch.max_weight as i64
+    }
+    #[inline]
+    fn slack(&self) -> i64 {
+        self.capacity() - self.total_weight
+    }
+    fn add_item(&mut self, i: usize) {
+        self.selected_bit[i] = true;
+        self.total_value += self.contrib[i] as i64;
+        self.total_weight += self.ch.weights[i] as i64;
+        let n = self.ch.difficulty.num_items;
+        for k in 0..n {
+            self.contrib[k] += self.ch.interaction_values[k][i] as i32;
+        }
+    }
+    fn remove_item(&mut self, j: usize) {
+        self.total_value -= self.contrib[j] as i64;
+        self.total_weight -= self.ch.weights[j] as i64;
+        let n = self.ch.difficulty.num_items;
+        for k in 0..n {
+            self.contrib[k] -= self.ch.interaction_values[k][j] as i32;
+        }
+        self.selected_bit[j] = false;
+    }
+    fn replace_item(&mut self, rm: usize, cand: usize) {
+        let w_c = self.ch.weights[cand] as i64;
+        if self.slack() >= w_c {
+            self.add_item(cand);
+            self.remove_item(rm);
+        } else {
+            self.remove_item(rm);
+            self.add_item(cand);
+        }
+    }
+    fn restore_snapshot(
+        &mut self,
+        snapshot_sel: &[usize],
+        snapshot_contrib: Vec<i32>,
+        snap_value: i64,
+    ) {
+        self.selected_bit.fill(false);
+        for &i in snapshot_sel {
+            self.selected_bit[i] = true;
+        }
+        self.contrib = snapshot_contrib;
+        self.total_value = snap_value;
+        self.total_weight = weight_of(self.ch, snapshot_sel);
+    }
+    #[inline]
+    fn remove_from_vec(v: &mut Vec<usize>, x: usize) {
+        if let Some(pos) = v.iter().position(|&y| y == x) {
+            v.swap_remove(pos);
+        }
+    }
+}
+
+fn build_initial_solution(state: &mut State, order_scores: &[i32]) {
+    let n = state.ch.difficulty.num_items;
+    let mut order: Vec<usize> = (0..n).collect();
+    order.sort_unstable_by(|&a, &b| {
+        let da = (order_scores[a] as f64) / (state.ch.weights[a] as f64);
+        let db = (order_scores[b] as f64) / (state.ch.weights[b] as f64);
+        db.partial_cmp(&da).unwrap_or(Ordering::Equal)
+    });
+    for &i in &order {
+        let w = state.ch.weights[i] as i64;
+        if state.total_weight + w <= state.capacity() {
+            state.add_item(i);
+        }
+    }
+}
+
+fn integer_core_target(ch: &Challenge, contrib: &[i32], core_half_dp: usize) -> Vec<usize> {
+    let n = ch.difficulty.num_items;
+    let mut order: Vec<usize> = (0..n).collect();
+    order.sort_unstable_by(|&a, &b| {
+        let da = (contrib[a] as f64) / (ch.weights[a] as f64);
+        let db = (contrib[b] as f64) / (ch.weights[b] as f64);
+        db.partial_cmp(&da).unwrap_or(Ordering::Equal)
+    });
+    let mut pref_w: i64 = 0;
+    let mut break_idx: usize = order.len().saturating_sub(1);
+    for (pos, &i) in order.iter().enumerate() {
+        let w = ch.weights[i] as i64;
+        if pref_w + w > ch.max_weight as i64 {
+            break_idx = pos;
+            break;
+        }
+        pref_w += w;
+    }
+    let left = break_idx.saturating_sub(core_half_dp);
+    let right = (break_idx + core_half_dp + 1).min(n);
+    let locked = &order[..left];
+    let core = &order[left..right];
+    let used_locked: i64 = locked.iter().map(|&i| ch.weights[i] as i64).sum();
+    let rem_cap = ((ch.max_weight as i64) - used_locked).max(0) as usize;
+    let myw = rem_cap;
+    let myk = core.len();
+    let mut dp: Vec<i64> = vec![i64::MIN / 4; myw + 1];
+    dp[0] = 0;
+    let mut choose: Vec<u8> = vec![0u8; myk * (myw + 1)];
+    let mut w_hi: usize = 0;
+    for (t, &it) in core.iter().enumerate() {
+        let wt = ch.weights[it] as usize;
+        if wt > myw {
+            continue;
+        }
+        let val = contrib[it] as i64;
+        let new_hi = (w_hi + wt).min(myw);
+        for w in (wt..=new_hi).rev() {
+            let cand = dp[w - wt] + val;
+            if cand > dp[w] {
+                dp[w] = cand;
+                choose[t * (myw + 1) + w] = 1;
+            }
+        }
+        w_hi = new_hi;
+    }
+    let mut selected: Vec<usize> = locked.to_vec();
+    let mut w_star = (0..=myw).max_by_key(|&w| dp[w]).unwrap_or(0);
+    for t in (0..myk).rev() {
+        let it = core[t];
+        let wt = ch.weights[it] as usize;
+        if wt <= w_star && choose[t * (myw + 1) + w_star] == 1 {
+            selected.push(it);
+            w_star -= wt;
+        }
+    }
+    selected.sort_unstable();
+    selected
+}
+
+fn apply_dp_target_via_ops(state: &mut State, target_sel: &[usize]) {
+    let n = state.ch.difficulty.num_items;
+    let mut in_target = vec![false; n];
+    for &i in target_sel {
+        in_target[i] = true;
+    }
+    let mut to_remove: Vec<usize> = Vec::new();
+    for i in 0..n {
+        if state.selected_bit[i] && !in_target[i] {
+            to_remove.push(i);
+        }
+    }
+    let mut to_add: Vec<usize> = Vec::new();
+    for &i in target_sel {
+        if !state.selected_bit[i] {
+            to_add.push(i);
+        }
+    }
+    for &r in &to_remove {
+        state.remove_item(r);
+    }
+    for &a in &to_add {
+        state.add_item(a);
+    }
+}
+
+fn build_ls_windows(state: &State, core_half_ls: usize) -> (Vec<usize>, Vec<usize>) {
+    let n = state.ch.difficulty.num_items;
+    let mut order: Vec<usize> = (0..n).collect();
+    order.sort_unstable_by(|&a, &b| {
+        let da = (state.contrib[a] as f64) / (state.ch.weights[a] as f64);
+        let db = (state.contrib[b] as f64) / (state.ch.weights[b] as f64);
+        db.partial_cmp(&da).unwrap_or(Ordering::Equal)
+    });
+    let mut best_unused = Vec::with_capacity(core_half_ls);
+    for &i in &order {
+        if !state.selected_bit[i] {
+            best_unused.push(i);
+            if best_unused.len() >= core_half_ls {
+                break;
+            }
+        }
+    }
+    let mut worst_used = Vec::with_capacity(core_half_ls);
+    for &i in order.iter().rev() {
+        if state.selected_bit[i] {
+            worst_used.push(i);
+            if worst_used.len() >= core_half_ls {
+                break;
+            }
+        }
+    }
+    (best_unused, worst_used)
+}
+
+fn apply_best_add_windowed(
+    state: &mut State,
+    best_unused: &mut Vec<usize>,
+    worst_used: &mut Vec<usize>,
+) -> bool {
+    let slack = state.slack();
+    if slack <= 0 {
+        return false;
+    }
+    let mut best: Option<(usize, i64)> = None;
+    for &cand in &*best_unused {
+        let w = state.ch.weights[cand] as i64;
+        if w > slack {
+            continue;
+        }
+        let delta = state.contrib[cand] as i64;
+        if delta > 0 && best.map_or(true, |(_, bd)| delta > bd) {
+            best = Some((cand, delta));
+        }
+    }
+    if let Some((cand, _)) = best {
+        state.add_item(cand);
+        State::remove_from_vec(best_unused, cand);
+        worst_used.push(cand);
+        true
+    } else {
+        false
+    }
+}
+
+fn apply_best_swap11_equal_windowed(
+    state: &mut State,
+    best_unused: &mut Vec<usize>,
+    worst_used: &mut Vec<usize>,
+) -> bool {
+    let mut best: Option<(usize, usize, i64)> = None;
+    for &rm in &*worst_used {
+        let w_rm = state.ch.weights[rm];
+        for &cand in &*best_unused {
+            if state.ch.weights[cand] != w_rm {
+                continue;
+            }
+            let delta = (state.contrib[cand] as i64)
+                - (state.contrib[rm] as i64)
+                - (state.ch.interaction_values[cand][rm] as i64);
+            if delta > 0 && best.map_or(true, |(_, _, bd)| delta > bd) {
+                best = Some((cand, rm, delta));
+            }
+        }
+    }
+    if let Some((cand, rm, _)) = best {
+        state.replace_item(rm, cand);
+        State::remove_from_vec(worst_used, rm);
+        best_unused.push(rm);
+        State::remove_from_vec(best_unused, cand);
+        worst_used.push(cand);
+        true
+    } else {
+        false
+    }
+}
+
+fn apply_best_swap_diff_reduce_windowed(
+    state: &mut State,
+    params: &Params,
+    best_unused: &mut Vec<usize>,
+    worst_used: &mut Vec<usize>,
+) -> bool {
+    let mut best: Option<(usize, usize, i64)> = None;
+    for &rm in &*worst_used {
+        let w_rm = state.ch.weights[rm] as i64;
+        for &cand in &*best_unused {
+            let w_c = state.ch.weights[cand] as i64;
+            if w_c >= w_rm {
+                continue;
+            }
+            let dw = (w_rm - w_c) as usize;
+            if dw == 0 || dw > params.diff_lim {
+                continue;
+            }
+            let delta = (state.contrib[cand] as i64)
+                - (state.contrib[rm] as i64)
+                - (state.ch.interaction_values[cand][rm] as i64);
+            if delta > 0 && best.map_or(true, |(_, _, bd)| delta > bd) {
+                best = Some((cand, rm, delta));
+            }
+        }
+    }
+    if let Some((cand, rm, _)) = best {
+        state.replace_item(rm, cand);
+        State::remove_from_vec(worst_used, rm);
+        best_unused.push(rm);
+        State::remove_from_vec(best_unused, cand);
+        worst_used.push(cand);
+        true
+    } else {
+        false
+    }
+}
+
+fn apply_best_swap_diff_increase_windowed(
+    state: &mut State,
+    params: &Params,
+    best_unused: &mut Vec<usize>,
+    worst_used: &mut Vec<usize>,
+) -> bool {
+    if state.slack() <= 0 {
+        return false;
+    }
+    let mut best: Option<(usize, usize, f64)> = None;
+    for &rm in &*worst_used {
+        let w_rm = state.ch.weights[rm] as i64;
+        for &cand in &*best_unused {
+            let w_c = state.ch.weights[cand] as i64;
+            if w_c <= w_rm {
+                continue;
+            }
+            let dw = (w_c - w_rm) as i64;
+            if dw as usize > params.diff_lim {
+                continue;
+            }
+            if state.slack() < dw {
+                continue;
+            }
+            let delta = (state.contrib[cand] as i64)
+                - (state.contrib[rm] as i64)
+                - (state.ch.interaction_values[cand][rm] as i64);
+            if delta > 0 {
+                let ratio = (delta as f64) / (dw as f64);
+                if best.map_or(true, |(_, _, br)| ratio > br) {
+                    best = Some((cand, rm, ratio));
+                }
+            }
+        }
+    }
+    if let Some((cand, rm, _)) = best {
+        state.replace_item(rm, cand);
+        State::remove_from_vec(worst_used, rm);
+        best_unused.push(rm);
+        State::remove_from_vec(best_unused, cand);
+        worst_used.push(cand);
+        true
+    } else {
+        false
+    }
+}
+
+fn polish_once(state: &mut State, params: &Params) {
+    let n = state.ch.difficulty.num_items;
+    let k = params.polish_k.min(n).max(16);
+    let mut idx: Vec<usize> = (0..n).collect();
+    idx.sort_unstable_by(|&a, &b| {
+        let ra = (state.contrib[a] as f64) / (state.ch.weights[a] as f64);
+        let rb = (state.contrib[b] as f64) / (state.ch.weights[b] as f64);
+        rb.partial_cmp(&ra).unwrap_or(Ordering::Equal)
+    });
+    let mut unused_top: Vec<usize> = Vec::new();
+    for &i in &idx {
+        if !state.selected_bit[i] {
+            unused_top.push(i);
+            if unused_top.len() >= k {
+                break;
+            }
+        }
+    }
+    let mut used_worst: Vec<usize> = Vec::new();
+    for &i in idx.iter().rev() {
+        if state.selected_bit[i] {
+            used_worst.push(i);
+            if used_worst.len() >= k {
+                break;
+            }
+        }
+    }
+
+    let mut best_add: Option<(usize, i64)> = None;
+    let slack0 = state.slack();
+    if slack0 > 0 {
+        for &i in &unused_top {
+            let w = state.ch.weights[i] as i64;
+            if w <= slack0 {
+                let d = state.contrib[i] as i64;
+                if d > 0 && best_add.map_or(true, |(_, bd)| d > bd) {
+                    best_add = Some((i, d));
+                }
+            }
+        }
+    }
+    if let Some((i, _)) = best_add {
+        state.add_item(i);
+        return;
+    }
+
+    let mut best_swap: Option<(usize, usize, i64)> = None;
+    for &rm in &used_worst {
+        for &cand in &unused_top {
+            if state.ch.weights[cand] != state.ch.weights[rm] {
+                continue;
+            }
+            let d = (state.contrib[cand] as i64)
+                - (state.contrib[rm] as i64)
+                - (state.ch.interaction_values[cand][rm] as i64);
+            if d > 0 && best_swap.map_or(true, |(_, _, bd)| d > bd) {
+                best_swap = Some((cand, rm, d));
+            }
+        }
+    }
+    if let Some((cand, rm, _)) = best_swap {
+        state.replace_item(rm, cand);
+        return;
+    }
+
+    let mut best_swap_red: Option<(usize, usize, i64)> = None;
+    for &rm in &used_worst {
+        let w_rm = state.ch.weights[rm] as i64;
+        for &cand in &unused_top {
+            let w_c = state.ch.weights[cand] as i64;
+            if w_c >= w_rm {
+                continue;
+            }
+            let dw = (w_rm - w_c) as usize;
+            if dw == 0 || dw > params.diff_lim {
+                continue;
+            }
+            let d = (state.contrib[cand] as i64)
+                - (state.contrib[rm] as i64)
+                - (state.ch.interaction_values[cand][rm] as i64);
+            if d > 0 && best_swap_red.map_or(true, |(_, _, bd)| d > bd) {
+                best_swap_red = Some((cand, rm, d));
+            }
+        }
+    }
+    if let Some((cand, rm, _)) = best_swap_red {
+        state.replace_item(rm, cand);
+        return;
+    }
+
+    if state.slack() > 0 {
+        let mut best_swap_inc: Option<(usize, usize, f64, i64)> = None;
+        for &rm in &used_worst {
+            let w_rm = state.ch.weights[rm] as i64;
+            for &cand in &unused_top {
+                let w_c = state.ch.weights[cand] as i64;
+                if w_c <= w_rm {
+                    continue;
+                }
+                let dw = w_c - w_rm;
+                if dw as usize > params.diff_lim {
+                    continue;
+                }
+                if state.slack() < dw {
+                    continue;
+                }
+                let d = (state.contrib[cand] as i64)
+                    - (state.contrib[rm] as i64)
+                    - (state.ch.interaction_values[cand][rm] as i64);
+                if d > 0 {
+                    let r = (d as f64) / (dw as f64);
+                    if best_swap_inc.map_or(true, |(_, _, br, bd)| d > bd || (d == bd && r > br)) {
+                        best_swap_inc = Some((cand, rm, r, d));
+                    }
+                }
+            }
+        }
+        if let Some((cand, rm, _, _)) = best_swap_inc {
+            state.replace_item(rm, cand);
+            return;
+        }
+    }
+}
+
+fn strategic_perturb_and_rebuild(state: &mut State, params: &Params) {
+    let sel = state.selected_items();
+    let m = sel.len();
+    if m == 0 {
+        return;
+    }
+    let mut bad = sel.clone();
+    bad.sort_unstable_by(|&a, &b| {
+        let ra = (state.contrib[a] as f64) / (state.ch.weights[a] as f64);
+        let rb = (state.contrib[b] as f64) / (state.ch.weights[b] as f64);
+        ra.partial_cmp(&rb).unwrap_or(Ordering::Equal)
+    });
+    let mut rem = (m / 10).max(1);
+    if rem > 10 {
+        rem = 10;
+    }
+    rem = rem.min(bad.len());
+    for i in 0..rem {
+        let r = bad[i];
+        if state.selected_bit[r] {
+            state.remove_item(r);
+        }
+    }
+    let (best_unused, _) = build_ls_windows(state, params.core_half_ls);
+    for &cand in &best_unused {
+        let w = state.ch.weights[cand] as i64;
+        if w <= state.slack() && (state.contrib[cand] as i64) > 0 {
+            state.add_item(cand);
+        }
+    }
+}
+
+fn local_search_vnd(state: &mut State, params: &Params) {
+    let (mut best_unused, mut worst_used) = build_ls_windows(state, params.core_half_ls);
+    loop {
+        if apply_best_add_windowed(state, &mut best_unused, &mut worst_used) {
+            continue;
+        }
+
+        if state.slack() > 0 {
+            let mut best_pair: Option<(usize, usize, i64)> = None;
+            let slack = state.slack();
+            let bu_len = best_unused.len();
+            for a_i in 0..bu_len {
+                let i = best_unused[a_i];
+                let wi = state.ch.weights[i] as i64;
+                if wi >= slack {
+                    continue;
+                }
+                let ci = state.contrib[i] as i64;
+                for a_j in (a_i + 1)..bu_len {
+                    let j = best_unused[a_j];
+                    let wj = state.ch.weights[j] as i64;
+                    let wsum = wi + wj;
+                    if wsum > slack {
+                        continue;
+                    }
+                    let cj = state.contrib[j] as i64;
+                    let syn = state.ch.interaction_values[i][j] as i64;
+                    let delta = ci + cj + syn;
+                    if delta > 0 && best_pair.map_or(true, |(_, _, bd)| delta > bd) {
+                        best_pair = Some((i, j, delta));
+                    }
+                }
+            }
+            if let Some((i, j, _)) = best_pair {
+                state.add_item(i);
+                state.add_item(j);
+                State::remove_from_vec(&mut best_unused, i);
+                State::remove_from_vec(&mut best_unused, j);
+                worst_used.push(i);
+                worst_used.push(j);
+                continue;
+            }
+        }
+
+        if apply_best_swap_diff_reduce_windowed(state, params, &mut best_unused, &mut worst_used) {
+            continue;
+        }
+        if apply_best_swap11_equal_windowed(state, &mut best_unused, &mut worst_used) {
+            continue;
+        }
+        if apply_best_swap_diff_increase_windowed(state, params, &mut best_unused, &mut worst_used)
+        {
+            continue;
+        }
+        break;
+    }
+}
+
+pub fn solve_challenge(
+    challenge: &Challenge,
+    save_solution: &dyn Fn(&Solution) -> anyhow::Result<()>,
+    hyperparameters: &Option<Map<String, Value>>,
+) -> anyhow::Result<()> {
+    let n = challenge.difficulty.num_items;
+    let params = Params::for_problem_size(n);
+    let mut build_scores = vec![0i32; n];
+    round0_scores(challenge, &mut build_scores);
+
+    let mut state = State::new_empty(challenge);
+    build_initial_solution(&mut state, &build_scores);
+    local_search_vnd(&mut state, &params);
+    polish_once(&mut state, &params);
+
+    for _it in 0..params.n_maxils {
+        let prev_sel = state.selected_items();
+        let prev_val = state.total_value;
+        let prev_contrib = state.contrib.clone();
+
+        let target = integer_core_target(challenge, &state.contrib, params.core_half_dp);
+        apply_dp_target_via_ops(&mut state, &target);
+        local_search_vnd(&mut state, &params);
+        polish_once(&mut state, &params);
+
+        if state.total_value > prev_val {
+            continue;
+        }
+
+        state.restore_snapshot(&prev_sel, prev_contrib.clone(), prev_val);
+        strategic_perturb_and_rebuild(&mut state, &params);
+        local_search_vnd(&mut state, &params);
+        polish_once(&mut state, &params);
+
+        if state.total_value <= prev_val {
+            state.restore_snapshot(&prev_sel, prev_contrib, prev_val);
+            break;
+        }
+    }
+
+    let mut items = state.selected_items();
+    items.sort_unstable();
+    let _ = save_solution(&Solution { items });
+    Ok(())
+}
diff --git a/tig-algorithms/src/knapsack/mod.rs b/tig-algorithms/src/knapsack/mod.rs
index 33ddf59..20af355 100644
--- a/tig-algorithms/src/knapsack/mod.rs
+++ b/tig-algorithms/src/knapsack/mod.rs
@@ -192,7 +192,8 @@
 
 // c003_a097
 
-// c003_a098
+pub mod knapsplatt;
+pub use knapsplatt as c003_a098;
 
 // c003_a099