What I am hoping to achieve is the ability to generate 'teams' of users. I will have x
amount of men, weighted (decimal skill weight, like 75.23
) and y
amount of women (also with a skill weight value).
Given that list of users, I would then take for input the number of teams to make (let us say, 6 teams). Then, I go through the list of x's and y's and organize them so that the best average possible weighted teams are created. I would like to keep the teams balanced (women and men ratio)
I don't want 'stacked' teams, (best skilled in one team). I would like an even distribution of weight.
Curious how I could achieve this in PHP? I'd be using a MySQL database to fetch users with weight values. I would know ahead of time how many users I would have, also how many teams I would want to generate.
I would appreciate any suggestions, or links to a solution if anyone has found something similar like this. I'm just not a math wiz, so I don't know what formula would apply here.
Thanks. I appreciate any input!
EDIT
After reviewing the answers, maybe I was not clear enough, so hopefully this helps a little more.
I'm not entirely clear what you're after here, so I'll recap on what I understand you to be asking. If this is not right, you can clarify your requirements by editing your question:
You have a list of a certain number of men and a certain number of women. Each person has a known skill score. You want to divide these into a certain number of teams, with the following aims:
I would have thought that a simple method to achieve this would be:
With this approach, you will be guaranteed the following outcomes:
If this simple approach doesn't meet your requirements, please let us know what else you had in mind.
This is similar to "maximum/minimum weight perfect matching", just that the matching is for more than two elements (note that this is a different weight from what you have (the skill weight), namely, you would assign a weight to a matching (a matching would be a proposed 'team')).
The known algorithms for the perfect matching above (eg, Edmond's algorithm) might not be adaptable to the group case. I would perhaps look into some simulated annealing technique or a simple genetic algorithm.
If the number of people in each group (x,y) is relatively even, and the total number of people is relatively high random sampling should work quite well. See here on how to select random rows from a MySQL database: http://dev.mysql.com/doc/refman/5.0/en/mathematical-functions.html#function_rand
Slight edit, to ensure fairness personally I'd do something like this. Say you know you want n members per team. Then create a local variable which is n*mean where mean is the average skill level per person. Then when your randomly selecting your team members do so within that limit.
Eg
while(new random record){
if(team_skill+random person skill > n*mean){
next;
}
if(team_skill+random person skill < n*mean && selected team members =n){
team + random person;
break;
}
}
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