activity
20132026
most citedSolving Rep-tile by Computers: Performance of Solvers and Analyses of Solutions

2 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

math.CO2026

The Smallest String Attractors of Fibonacci, Period-Doubling, and Thue--Morse Words

Mutsunori Banbara, Hideo Bannai, Peaker Guo +3

A string attractor of a string is a set of positions of such that any nonempty substring of has an occurrence that crosses a position in , i.e., ther…

cs.AI2025

The ASP-based Nurse Scheduling System at the University of Yamanashi Hospital

Hidetomo Nabeshima, Mutsunori Banbara, Torsten Schaub +1

We present the design principles of a nurse scheduling system built using Answer Set Programming (ASP) and successfully deployed at the University of Yamanashi Hospital. Nurse sche…

cs.AI2024★ 1 cited

Dominating Set Reconfiguration with Answer Set Programming

Masato Kato, Torsten Schaub, Takehide Soh +2

The dominating set reconfiguration problem is defined as determining, for a given dominating set problem and two among its feasible solutions, whether one is reachable from the oth…

cs.AI2024

Large Neighborhood Prioritized Search for Combinatorial Optimization with Answer Set Programming

Irumi Sugimori, Katsumi Inoue, Hidetomo Nabeshima +4

We propose Large Neighborhood Prioritized Search (LNPS) for solving combinatorial optimization problems in Answer Set Programming (ASP). LNPS is a metaheuristic that starts with an…

cs.AI2023

Bounded Combinatorial Reconfiguration with Answer Set Programming

Yuya Yamada, Mutsunori Banbara, Katsumi Inoue +1

We develop an approach called bounded combinatorial reconfiguration for solving combinatorial reconfiguration problems based on Answer Set Programming (ASP). The general task is to…

cs.CC2023

On the Computational Complexity of Generalized Common Shape Puzzles

Mutsunori Banbara, Shin-ichi Minato, Hirotaka Ono +1

In this study, we investigate the computational complexity of some variants of generalized puzzles. We are provided with two sets S_1 and S_2 of polyominoes. The first puzzle asks…

cs.DS2022

Interval-Memoized Backtracking on ZDDs for Fast Enumeration of All Lower Cost Solutions

Shin-ichi Minato, Mutsunori Banbara, Takashi Horiyama +3

In this paper, we propose a fast method for exactly enumerating a very large number of all lower cost solutions for various combinatorial problems. Our method is based on backtrack…

cs.DM2021★ 2 cited

Solving Rep-tile by Computers: Performance of Solvers and Analyses of Solutions

Mutsunori Banbara, Kenji Hashimoto, Takashi Horiyama +7

A rep-tile is a polygon that can be dissected into smaller copies (of the same size) of the original polygon. A polyomino is a polygon that is formed by joining one or more unit sq…

cs.AI2017★ 1 cited

Clingcon: The Next Generation

Mutsunori Banbara, Benjamin Kaufmann, Max Ostrowski +1

We present the third generation of the constraint answer set system clingcon, combining Answer Set Programming (ASP) with finite domain constraint processing (CP). While its predec…

cs.AI2013

Aspartame: Solving Constraint Satisfaction Problems with Answer Set Programming

Mutsunori Banbara, Martin Gebser, Katsumi Inoue +4

Encoding finite linear CSPs as Boolean formulas and solving them by using modern SAT solvers has proven to be highly effective, as exemplified by the award-winning sugar system. We…