{
  "name": "win-nsga",
  "version": "0.0.1-7",
  "description": "Create and manage an evolutionary algorithm that runs the NSGA-II multiobjective search algorithm (bit redundant). This is a WIN module. ",
  "keywords": [
    "Evolution",
    "Artificial Neural Networks",
    "WIN"
  ],
  "author": {
    "name": "Paul Szerlip",
    "email": "Paul.Szerlip@cs.ucf.edu",
    "url": "http://designforcode.com/"
  },
  "main": "lib/winnsga.js",
  "repository": {
    "type": "git",
    "url": "https://github.com/OptimusLime/win-nsga.git"
  },
  "bugs": "https://github.com/OptimusLime/win-nsga/issues",
  "license": "MIT",
  "dependencies": {
    "q": "*",
    "optimuslime-traverse": "*",
    "win-utils": "0.x.x"
  },
  "devDependencies": {
    "colors": "*",
    "win-backbone": "*",
    "win-gen": "*",
    "win-schema": "*",
    "mocha": "1.1.x",
    "should": "1.1.x"
  }
}