Human-Guided Search (HuGS) is a framework for helping the computer solve computational problems by human interaction.
HuGS was developed by Neal Lesh, Gunnar W. Klau, Michael Mitzenmacher, and Joe Marks.
Klau, G. W., Lesh, N., Marks, J., and Mitzenmacher, M. 2002. Human-guided tabu search. In Proceedings of the 18th National Conference on Artificial Intelligence (AAAI'02]. AAAI Press. 41–47.
There should be a Makefile, but there isn't. Whoever reads this, please add one. Otherwise compile the code using
javac hugs/*java javac hugs/apps/crossing/*java javac hugs/apps/delivery/*java javac hugs/apps/jobshop/*java javac hugs/apps/protein/*java javac hugs/apps/stpc/*java
To run the programs, try
java hugs.apps.crossing.Crossing -size 10 5 java hugs.apps.delivery.Delivery java hugs.apps.protein.Protein -size 50 java hugs.apps.jobshop.Jobshop -loadProblem apps/jobshop/problems/la16.jsp
The last assumes you are in the hugs directory. You can, of course, run the programs without any arguments, but the above give samples of how to specify the problem.
Here are a few of the less obvious features of the system:
Double-click on the background to unselect all elements
The red, yellow, and green squares near the score are shortcuts for setting mobilities. Click on them once to set the mobilities of the selected elements.
Double-click on the mobility icons to set the mobility of all elements.
The Selections menu allows you to mark (and unmark) elements. Some of the applications allow you to specify secondary objective functions on marked elements, by controlling the inputs to the search algorithm (press the "Inputs" button to get the controls) For example, in Crossing you can tell the search algorithm to move marked elements to the left or right.