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/*
* Copyright 2015 Open Networking Laboratory
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.onlab.graph;
/**
* Interface representing an "organism": a specific solution
* to a problem where solutions can be evaluated in terms
* of fitness. These organisms can be used to represent any
* class of problem that genetic algorithms can be run on.
*/
interface GAOrganism {
/**
* A fitness function that determines how
* optimal a given organism is.
*
* @return fitness of organism
*/
double fitness();
/**
* A method that slightly mutates an organism.
*/
void mutate();
/**
* Creates a new random organism.
*
* @return random GAOrganism
*/
GAOrganism random();
/**
* Returns a child organism that is the result
* of "crossing" this organism with another.
*
* @param other Other organism to cross with
* @return child organism
*/
GAOrganism crossWith(GAOrganism other);
}
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