In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm w...
A fault-oriented sequential circuit test generator is described in which various types of distinguishing sequences are derived, both statically and dynamically, to aid the test ge...
Michael S. Hsiao, Elizabeth M. Rudnick, Janak H. P...
Test application time is an important factor in the overall cost of VLSI chip testing. We present a new ATPG approach for generating compact test sequences for sequential circuits...
Yanti Santoso, Matthew C. Merten, Elizabeth M. Rud...
Abstract— This paper investigates the performance of trading strategies identified through Computational Intelligence techniques. We focus on trading rules derived by Genetic Pr...
Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epit...
This paper proposes a genetic algorithm (GA) with random immigrants for dynamic optimization problems where the worst individual and its neighbours are replaced every generation. I...