| [6152] | 1 | This package contains classes for representations of the form of arbitrary |
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| 2 | collections of objects. One common use of such collections would be as |
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| 3 | bags of "rules", hence the name. However there's no reason you couldn't use |
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| 4 | any kind of object here. Also don't be put off by the name "ruleset" -- it's |
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| 5 | not a set of rules, it's a collection (a bag, a multiset) of objects, that is, |
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| 6 | there's no reason the object can't appear more than one time. |
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| 7 | |
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| 8 | The package is very straightforward. A RuleIndividual contains a fixed-length |
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| 9 | array of RuleSets. Each RuleSet is an arbitrary-length array of Rules. |
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| 10 | A Rule is the superclass of your basic object. |
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| 11 | |
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| 12 | RuleIndividuals must belong to RuleSpecies (or a subclass), which does trivial |
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| 13 | checks. Various RuleSets are associated with a RuleSetConstraints object |
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| 14 | in which they can store common information. Presently RuleSetConstraints |
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| 15 | specify: |
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| 16 | |
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| 17 | - the minimum number of rules allowed in the RuleSet upon initialization |
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| 18 | - the maximum number of rules allowed in the RuleSet upon initialization |
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| 19 | or |
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| 20 | - a distribution from which the number of rules is drawn |
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| 21 | |
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| 22 | Additionally: |
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| 23 | |
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| 24 | - The probability that new rules will be added upon mutation |
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| 25 | - The probability that new rules will be deleted upon mutation |
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| 26 | - The probability the rules will be randomized in order upon mutation |
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| 27 | |
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| 28 | You're welcome to modify this as you see fit of course. Rules are likewise |
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| 29 | associated with RuleConstraints in which they can store common information |
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| 30 | (presently nothing is stored). |
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| 31 | |
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| 32 | To set up the constraints objects, the rule package requires that your |
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| 33 | initializer be a subclass of RuleInitializer. |
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| 34 | |
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| 35 | The 'breed' directory contains two breeding pipelines which might be of use. |
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| 36 | RuleCrossover trades rules among rulesets using the following algorithm: |
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| 37 | |
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| 38 | For i from 1 to the number of rulesets |
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| 39 | r1 = ruleset i in individual A |
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| 40 | r2 = ruleset i in individual B |
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| 41 | For each rule in r1 |
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| 42 | With a given probability, |
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| 43 | mark that rule to go to r2 |
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| 44 | For each rule in r2 |
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| 45 | With a given probability, |
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| 46 | mark that rule to go to r1 |
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| 47 | Exchange marked rules between r1 and r2 |
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| 48 | |
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| 49 | You specify the rule exchange probability. The RuleMutation operator simply |
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| 50 | calls mutateRules() on all the rulesets. The default mutateRules() function |
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| 51 | first calls mutate() on al the rules in the ruleset. It then deletes rules from |
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| 52 | the ruleset with a certain probability. It then adds new rules to the ruleset |
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| 53 | with a certain probability. Finally it randomizes the rule order of the ruleset |
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| 54 | with a certain probability. |
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