oxiz-opt

Optimization engine for OxiZ: MaxSMT and Optimization Modulo Theories (OMT).

Overview

This crate provides optimization capabilities on top of the SMT solver. It supports weighted MaxSAT, MaxSMT (soft constraints with theories), and objective function optimization.

Features

Algorithms

MaxSAT Algorithms

• Core-guided: Fu-Malik, OLL, MSU3
• Weighted: WMax, Stratified
• Hybrid: Combining multiple strategies

OMT Algorithms

• Linear search: Iterative optimization
• Binary search: For bounded objectives
• Symba: Symbolic objective optimization

Usage

use oxiz_opt::OptContext;

fn main() {
    let mut opt = OptContext::new();

    // Add hard constraints
    // opt.assert(...);

    // Add soft constraints with weights
    // opt.add_soft(..., weight);

    // Add objective to minimize/maximize
    // opt.minimize(...);

    // Solve
    // let result = opt.check();
}

SMT-LIB2 Commands

(minimize (+ x y))
(maximize z)
(assert-soft (> x 0) :weight 5)
(check-sat)
(get-objectives)

License

MIT OR Apache-2.0