The quality of an information retrieval system heavily depends on its retrieval function, which returns a similarity measurement between the query and each document in the collect...
Evolutionary multi-objective optimization of spiking neural networks for solving classification problems is studied in this paper. By means of a Paretobased multi-objective geneti...
This paper attempts to quantify the optimality of FPGA technology mapping algorithms. We develop an algorithm, based on Boolean satisfiability (SAT), that is able to map a small s...
Andrew C. Ling, Deshanand P. Singh, Stephen Dean B...
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Redundancy allocation problems (RAPs) have attracted much attention for the past thirty years due to its wide applications in improving the reliability of various engineering syste...