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Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high- dimensional spaces. Given the difficulty of performing such high-dimensional op- timization with modern computers, there has been a lot of exploration of computa- tional algorithms that try to emulate those naturally-occurring function optimizers. Examples include simulated annealing (SA 15,18]), genetic algorithms (GAs) and evolutionary computation 2,3,9,11,20-22,24,28]. The ultimate goal of this work is an algorithm that can, for...