Human-Based Evolutionary Computing

author = "Jeffrey V. Nickerson",

title = "Human-Based Evolutionary Computing",

booktitle = "Handbook of Human Computation",

publisher = "Springer",

year = "2013",

editor = "Pietro Michelucci",

pages = "641--648",

keywords = "genetic algorithms, genetic programming",

isbn13 = "978-1-4614-8806-4",

DOI = "

doi:10.1007/978-1-4614-8806-4_51",

abstract = "Crowds can generate creative ideas by working in parallel to modify and combine each others ideas. Specifically, crowd members can be organized by a human-based evolutionary algorithm. New ideas are created from scratch, they are ranked, then selected for modification or combination by other crowd members. The end result of this process is a population of ideas that will be better than starting ideas along all measured dimensions. This technique is particularly useful when problems are difficult to formalize and require human judgment at both the alternative generation and evaluation stages.",

notes = "Stevens Institute of Technology, Hoboken, USA",