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Algorithm Selection for Sudoku Solving by yahyagrich5 is a document available to read on EtoBox.
What is Algorithm Selection for Sudoku Solving about?
This document discusses using instance space analysis (ISA) to analyze the performance of different metaheuristic algorithms for solving Sudoku puzzles. It formulates Sudoku as an optimization problem and implements four metaheuristics - simulated annealing, record-to-record travel, reduced variable neighborhood search, and steepest descent. 20 features are extracted from 1000 diverse Sudoku instances to characterize the instance space. The goal is to use ISA to determine how instance features affect algori
- Author
- yahyagrich5
- Language
- EN