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-------------------------------------------------- A Simple Implementation of the Bayesian Optimization Algorithm (BOA) in C++ --------------------------------------------------author: Martin Pelikanversion: 1.0released: March 19991. INTRODUCTION----------------The instructions for compiling and using the simple implementation ofthe BOA, version 1.0, can be found in an IlliGAL tech-report99011. The report can be downloaded from the IlliGAL www-site: http://www-illigal.ge.uiuc.edu/The short version of the instructions for compiling the code, usingthe resulting executable and some more comments follow. However, weencourage you to read the report in order to take advantage of thefeatures of the implementation and understand what is actually goingon when you see all the outputs. 2. COMPILATION---------------In Makefile, change the following two lines:1) Line 36 - In the statement CC = CC, the CC on the right-hand side should bechanged to the name of a preferred C++ compiler on your machine. Witha gcc, for instance, the line should be changed to CC = gcc. 2) Line 42 - In the statement OPTIMIZE = -O3, the required optimization level should be set (for GNU gcc this is -O4, for SGI CC it is -O3). For no code optimization, use only OPTIMIZE = . For instance, for a maximal optimization with gcc, i.e. -O4, use OPTIMIZE = -O4. All modules are compiled at once since some compilers (as SGI CC) use intermodule optimization that does not allowthem to compile each source file separately and link them together afterwards. Run the following command line:make allAfter compiling the source codes, your directory should contain anexecutable file boa.3. COMMAND LINE PARAMETERS---------------------------There are three parameters that can be passed to the boa:<input file> -> input file name-h -> help on command line parameters-paramDescription -> print out the description of input file parameters4. EXAMPLE INPUT FILES-----------------------Example input files are located in a sub-directory examples. Files withthe names starting with input are input files and files starting withoutput are output files produced with the parameters specified in thecorresponding input files.4. COMMENTS------------This code is distributed for academic purposes with absolutely nowarranty of any kind, either expressed or implied, to the extentpermitted by applicable state law. We are not responsible for anydamage resulting from its proper or improper use.If you have any comments or identify any bugs, please contact theauthor at the following address (email is the preferred form ofcommunication):Martin PelikanIllinois Genetic Algorithms LaboratoryDepartment of General EngeneeringUniversity of Illinois at Urbana-Champaign117 Transportation Building104 South Mathews AvenueUrbana, IL 61801email: pelikan@illigal.ge.uiuc.eduHappy BOAing!
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