Both simulated annealing (SA) and the genetic algorithms (GA) are stochastic and derivative-free optimization technique. SA operates on one solution at a time, while the GA mainta...
Mostafa A. El-Hosseini, Aboul Ella Hassanien, Ajit...
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
—Although many efficient high-level algorithms have been proposed for the realization of Multiple Constant Multiplications (MCM) using the fewest number of addition and subtract...
Levent Aksoy, Eduardo Costa, Paulo F. Flores, Jos&...
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...
We propose a new transform coding algorithm that integrates all optimization steps into a coherent and consistent framework. Each iteration of the algorithm is designed to minimiz...