Created by xiaohui on 2009-04-22 and last modified on 2009-10-25

MOSES is the cognitive plugin of Opencog Framework, and it plays an important role in the Opencog. The hBOA is used to generate the promising programs as optimal algorithm in MOSES. But it is not the optimal one in this context. Therefore, to improving the efficiency of the optimal algorithm in MOSES is very important and meaningful. The BBHC and simulated annealing algorithm are suitable to be integrated into the MOSES. These integration work would make MOSES better and smarter.

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Recent revisions

3263. By xiaohui on 2009-10-25

forgot commited files

3262. By xiaohui on 2009-08-21

-some output are added for debug
-add one test for vary_n_knobs

3261. By xiaohui on 2009-08-20

- modified the generate_contin_neighbor and added some comments

3260. By xiaohui on 2009-08-20

- fix the bug of sample_from_neighborhood
- fix the bug of get_num_before_stop

3259. By xiaohui on 2009-08-19

whoops, forget file

3258. By xiaohui on 2009-08-19

-add a function to get the number of Left and Right before the Stop
 of contin spec
-modified the optimization.h to fit this function in eda/field_set.h

3257. By xiaohui on 2009-08-19

-add the test case for build_spec
-modified the test case for sampling_from_neighborhood

3256. By xiaohui on 2009-08-19

changed the opencog::cassert to OC_ASSERT

3255. By xiaohui on 2009-08-11

add two unit test for testing contin type neighborhood sampling
add some output for debuging

3254. By xiaohui on 2009-08-10

add the contin type to sample_from_neighborhood

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