The GENIE is Out! (Who Needs Fitness to Evolve?)

Stephen Chen, Stephen Smith and Cesar Guerra-Salcedo
Conference Paper, CEC99: Proceedings of the Congress on Evolutionary Computation, January, 1999

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“Survival of the fittest” is often seen as the driving force behind adaptation and evolution. For sure, all evolutionary algorithms use fitness-based selection. However, it is not necessary to know where you are, to know where you are going. Similarly, it is not necessary to know the fitness of a solution, to find a better solution. The GENIE algorithm uses random parent selection and a non-elitist generational replacement scheme. Experiments on a non-trivial instance of the Traveling Salesman Problem show that heuristic operators in GENIE can converge to the optimal solution without evaluating fitness.

author = {Stephen Chen and Stephen Smith and Cesar Guerra-Salcedo},
title = {The GENIE is Out! (Who Needs Fitness to Evolve?)},
booktitle = {CEC99: Proceedings of the Congress on Evolutionary Computation},
year = {1999},
month = {January},
keywords = {genetic algorithms, commonality hypothesis, Traveling Salesman Problem, heuristic amplification},
} 2017-09-13T10:48:52-04:00