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Wave-Based Computing for Solving NP-Hard Problems: A Mathematical Framework and Applications

Year: 2025
Type: article
Abstract: This paper explores the use of wave-based computing as a novel computational framework for solving NP-hard problems such as the Traveling Salesman Problem (TSP) and the Set Cover Problem (SCP). Wave-based computing leverages interference phenomena, amplitude modulation, and energy minimization principles to efficiently explore solution spaces. We present a mathematical model that maps NP-hard problems onto wave dynamics, enabling the discovery of near-optimal solutions with reduced computational complexity. Experimental results demonstrate the algorithm's effectiveness in minimizing costs and achieving high-quality solutions compared to traditional methods. This work lays the foundation for applying wave-based computing to optimization challenges in logistics, network design, and quantum-inspired systems.
Language: English
Open Access status: green
OpenAlex ID: W6967863135
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