Patent Document ID: 20130031140
Application ID: 13194424
Patent Flag: 0

Claim One:
1. A method comprising: identifying an input population of parent epsilon chromosome data structures, wherein each parent epsilon chromosome data structure provides genes each having a respective candidate epsilon value, each candidate epsilon value representing a respective step size or spacing associated with a respective problem objective of a plurality of problem objectives; selecting one or more pairs of parent epsilon chromosome data structures from the input population of parent epsilon chromosome data structures; combining genes of each selected pair of parent epsilon chromosome data structures according to at least one evolutionary operator to generate a plurality of child epsilon chromosome data structures, each child epsilon chromosome data structure providing one or more genes each having a respective candidate epsilon value representing a respective step size or spacing for the respective problem objective; and evaluating each of the plurality of child epsilon chromosome data structures according to one or more epsilon objective functions to generate respective epsilon objective function values for each child epsilon chromosome data structure, wherein each epsilon objective function is associated with a respective goal associated with at least one a priori criterion defined using at least a respective subset of the plurality of problem objectives, wherein each respective epsilon objective function value indicates an extent to which each respective goal can be achieved, wherein the prior steps are performed by one or more computers.