@conference { 83,
	title = {Generation Of Transfer Functions with Stochastic Search Techniques},
	booktitle = {Proceedings of the 7th conference on Visualization},
	year = {1996},
	month = {10/1996},
	pages = {227-234},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {This paper presents a novel approach to assist the user in exploring appropriate transfer functions for the visualization of volumetric datasets. The search for a transfer function is treated as a parameter optimization problem and addressed with stochastic search techniques. Starting from an initial population of (random or pre-defined) transfer functions, the evolution of the stochastic algorithms is controlled by either direct user selection of intermediate images or automatic fitness evaluation using user-specified objective functions. This approach essentially shields the user from the complex and tedious \trial and error" approach, and demonstrates effective and convenient generation of transfer functions.},
	author = {T. He and L. Hong and A. Kaufman and H. Pfister}
}