33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# bano
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Sokoban solver using genetic algorithms.
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## Description
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bano is a sokoban solver that uses a genetic algorithm to calculate the most
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optimal solution for a given map. The heuristic approach covered by the tool
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is twofold and can be described as follows:
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1. Place the boxes in the given goals in as fewer steps as possible. While
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this is not guaranteed, it can be improved either through subsequent iterations
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or decreasing the search space (controllable via -d/--ds argument).
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2. If any box is placed in such a way that the agent can no longer move it, this
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is considered a losing condition and it is no longer evaluated. The evaluation
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is scored by calculating the individual box distances and the highest scoring
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agents end up as a parent to newly bred agents.
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The approach described above is not computationally efficient compared to others and
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has a tendency to "halt" with more complex problem spaces, therefore it is more suitable
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for smaller levels. To avoid early convergence one can tune the parameters according to the
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complexity of the layout.
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## Usage
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`bano --nt 4 -d 4096 -m 256 --ps 8192 < map`
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`bano '8X|4.1@*gX|8X'`
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## Maps
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Some of the maps in the map directory were manually altered and are taken from [here](https://github.com/begoon/sokoban-maps/blob/master/maps/sokoban-maps-60-plain.txt).
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