feat(async): AsyncProblem trait + run_async on RandomSearch and DifferentialEvolution

Adds the headline async/await capability for IO-bound evaluations
(HTTP services, RPC clients, spawned subprocesses) — the
differentiator vs pymoo / hyperopt / MOEA Framework.

No public-API breaks for synchronous users. The new surface is
gated behind a new `async` feature flag.

- core::async_problem::AsyncProblem trait (async fn evaluate_async).
- algorithms::parallel_eval_async::evaluate_batch_async helper using
  futures::stream::FuturesOrdered with concurrency-bounded chunks;
  preserves input order so seeded determinism holds when evaluations
  are themselves deterministic.
- run_async on RandomSearch and DifferentialEvolution.
- examples/async_eval.rs: simulated 20 ms remote service. concurrency=1
  → 4.2 s, concurrency=4 → 2.1 s (2× speedup).

Bumps Cargo.toml to 0.8.0; CHANGELOG entry covers the above plus a
note that 0.6.0/0.7.0 on crates.io are yanked experimentals and 0.8
picks up cleanly from 0.5.

src/algorithms/parallel_eval_async.rs

@@ -0,0 +1,58 @@
+//! Async population evaluator.
+//!
+//! Available only with the `async` feature. Used by the `run_async`
+//! method on algorithms that support async problems.
+
+use futures::stream::{FuturesOrdered, StreamExt};
+
+use crate::core::async_problem::AsyncProblem;
+use crate::core::candidate::Candidate;
+
+/// Evaluate every decision concurrently against `problem`, preserving
+/// input order in the returned vector. Concurrency is bounded by
+/// `concurrency` (≥ 1) — too high a value wastes memory and may
+/// overload downstream services; too low forfeits parallelism.
+///
+/// Returns a future that the caller drives via their preferred
+/// runtime (typically tokio).
+pub async fn evaluate_batch_async<P>(
+    problem: &P,
+    decisions: Vec<P::Decision>,
+    concurrency: usize,
+) -> Vec<Candidate<P::Decision>>
+where
+    P: AsyncProblem,
+{
+    assert!(
+        concurrency >= 1,
+        "evaluate_batch_async concurrency must be >= 1"
+    );
+    let mut out: Vec<Candidate<P::Decision>> = Vec::with_capacity(decisions.len());
+
+    // Process in concurrency-bounded chunks to keep peak memory low
+    // and avoid blasting downstream services. Each chunk uses
+    // FuturesOrdered to preserve per-chunk order, and chunks are
+    // emitted in their natural order.
+    let mut iter = decisions.into_iter();
+    loop {
+        let mut futs = FuturesOrdered::new();
+        for _ in 0..concurrency {
+            match iter.next() {
+                Some(d) => {
+                    futs.push_back(async move {
+                        let e = problem.evaluate_async(&d).await;
+                        Candidate::new(d, e)
+                    });
+                }
+                None => break,
+            }
+        }
+        if futs.is_empty() {
+            break;
+        }
+        while let Some(c) = futs.next().await {
+            out.push(c);
+        }
+    }
+    out
+}