| 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); |
| } |