本文整理汇总了C++中Strategy::setRandomStrategy方法的典型用法代码示例。如果您正苦于以下问题：C++ Strategy::setRandomStrategy方法的具体用法？C++ Strategy::setRandomStrategy怎么用？C++ Strategy::setRandomStrategy使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类Strategy的用法示例。
在下文中一共展示了Strategy::setRandomStrategy方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: main
int main(int argc, char **argv) {
int genCounter = 0;
int populationCount = 0;
int sessionScores = 0;
int fieldMatrix [ 10 ] [ 10 ];
int c;
int nr_generations = 1000;
int nr_steps = 200;
while (1)
{
static struct option long_options[] =
{
// {"Number of agents", required_argument, 0, 'a'},
// {"Number of cleaning sessions", required_argument, 0, 'c'},
{"Number of generations", required_argument, 0, 'g'},
// {"Number of survivors", required_argument, 0, 'n'},
{"Number of steps in each cleaning session", required_argument, 0, 's'},
{0, 0, 0, 0}
};
/* getopt_long stores the option index here. */
int option_index = 0;
c = getopt_long (argc, argv, "g:s:",
long_options, &option_index);
/* Detect the end of the options. */
if (c == -1)
break;
switch (c)
{
case 0:
printf ("option %s", long_options[option_index].name);
if (optarg)
printf (" with arg %s", optarg);
printf ("\n");
break;
case 'g':
printf ("option -%c with value `%s'\n", c, optarg);
nr_generations = (int) atol(optarg);
break;
case 's':
printf ("option -%c with value `%s'\n", c, optarg);
nr_steps = (int) atol(optarg);
break;
// case 'a':
// case 'n':
// case 'c':
// printf ("option -%c with value `%s'\n", c, optarg);
// break;
case '?':
/* getopt_long already printed an error message. */
// break;
default:
abort ();
}
}
srand ( time ( NULL ) );
// initialize agents
Robby agentArray [ NR_AGENTS ];
for ( int agent = 0; agent < NR_AGENTS; agent++ ) {
s.setRandomStrategy ( );
agentArray [ agent ].setStrategy ( s );
}
while ( genCounter < nr_generations ) {
for ( int agent = 0; agent < NR_AGENTS; agent++ ) {
agentArray [ agent ].resetStatistics ( );
for ( int session = 0; session < SESSIONS; session++ ) {
agentArray [ agent ].setPos ( 0 , 0 );
agentArray [ agent ].initializeField ( fieldMatrix ) ;
agentArray [ agent ].resetStatistics ( );
for ( int steps = 0; steps < nr_steps; steps++ ) {
// make one step by figuring out current context, getting the index for that context, getting the action for that index
agentArray [ agent ].updateContext( );
agentArray [ agent ].makeMove ( agentArray [ agent ].getStrategy( ).getAction ( agentArray [ agent ].getContext( ).getCoding( ) ), false );
} // end steps
// register score for this session
sessionScores += agentArray [ agent ].getPoints ( );
} // END SESSIONS(k): all sessions for an agent done
int sessionAvg = 0;
//.........这里部分代码省略.........