Solving Sudoku with Ant Colony Optimisation
Huw Lloyd, Martyn Amos

TL;DR
This paper introduces a new Ant Colony Optimization algorithm for solving Sudoku puzzles, featuring a novel anti-stagnation operator called Best Value Evaporation, which improves performance on large instances.
Contribution
The paper presents a novel ACO-based Sudoku solver with a unique anti-stagnation operator, outperforming existing methods on large puzzles.
Findings
Outperforms existing methods on large Sudoku instances
Introduces the Best Value Evaporation anti-stagnation operator
Demonstrates improved convergence and solution quality
Abstract
In this paper we present a new Ant Colony Optimisation-based algorithm for Sudoku, which out-performs existing methods on large instances. Our method includes a novel anti-stagnation operator, which we call Best Value Evaporation.
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Taxonomy
Topicsgraph theory and CDMA systems · Optimization and Packing Problems
