This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
In this paper, the problem of sizing MOS Current Mode Logic (MCML) circuits is addressed. The Pareto front is introduced as a useful analysis tool to explore the design space of e...
Roberto Pereira-Arroyo, Pablo Alvarado-Moya, Wolfg...
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...