Fractional dynamic fitness functions for GA-based circuit design

Cecília Reis, J. A. Tenreiro Machado, J. Boaventura Cunha
2005 Proceedings of the 2005 conference on Genetic and evolutionary computation - GECCO '05  
This paper proposes and analyses the performance of a Genetic Algorithm (GA) using two new concepts, namely a static fitness function including a discontinuity measure and a fractional-order dynamic fitness function. The GA is adopted for the synthesis of combinational logic circuits. In both cases, experiments reveal superior results in terms of speed and convergence to achieve a solution.
doi:10.1145/1068009.1068264 dblp:conf/gecco/ReisMC05 fatcat:vjpgyxtcsfemnjassbl2wajp7q