Algebraic Structure Discovery for Real World Combinatorial Optimisation Problems: a General Framework From Abstract Algebra to Quotient Space Learning
A general framework has been proposed for discovering algebraic structures in real-world combinatorial optimization problems. The framework identifies algebraic structure and applies quotient space learning to improve the chances of finding the global optimal solution. The system has the potential to significantly improve the performance of optimization algorithms for complex problems.
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