AILOJul 24, 2013

A novel approach of solving the CNF-SAT problem

arXiv:1307.6291v14 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental analysis comparing known methods for an NP-Complete problem, relevant to researchers in computational complexity and algorithm design.

The paper analyzed two existing algorithms, PL-Resolution and WalkSAT, for solving the CNF-SAT problem, finding that WalkSAT is faster and more practical for less hard problems, though it lacks completeness guarantees.

In this paper, we discussed CNF-SAT problem (NP-Complete problem) and analysis two solutions that can solve the problem, the PL-Resolution algorithm and the WalkSAT algorithm. PL-Resolution is a sound and complete algorithm that can be used to determine satisfiability and unsatisfiability with certainty. WalkSAT can determine satisfiability if it finds a model, but it cannot guarantee to find a model even there exists one. However, WalkSAT is much faster than PL-Resolution, which makes WalkSAT more practical; and we have analysis the performance between these two algorithms, and the performance of WalkSAT is acceptable if the problem is not so hard.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes