A Step Forward in Studying the Compact Genetic Algorithm

A Step Forward in Studying the Compact Genetic Algorithm

The compact Genetic Algorithm (cGA) is an Estimation of Distribution Algorithm that generates offspring population according to the estimated probabilistic model of the parent population instead of using traditional recombination and mutation operators. The cGA only needs a small amount of memory; therefore, it may be quite useful in memory-constrained applications. This paper introduces a theo...

The compact genetic algorithm

This paper introduces the compact genetic algorithm (cGA) which represents the population as a probability distribution over the set of solutions and is operationally equivalent to the order-one behavior of the simple GA with uniform crossover. It processes each gene independently and requires less memory than the simple GA. The development of the compact GA is guided by a proper understanding ...

One step forward

Massive parallelization of the compact genetic algorithm

This paper presents an architecture which is suitable for a massive parallelization of the compact genetic algorithm. The resulting scheme has three major advantages. First, it has low synchronization costs. Second, it is fault tolerant, and third, it is scalable. The paper argues that the benefits that can be obtained with the proposed approach is potentially higher than those obtained with tr...

[A step forward].

Nos gustaría comenzar esta nueva etapa agradeciendo a Elsevier y al anterior equipo editorial su esfuerzo, su constancia y su contribución al desarrollo de la Enfermería desde que comenzaron su andadura en el año 2004. Sin duda, Enfermería Clínica ha brindando a los enfermeros y enfermeras la posibilidad de colaborar en un objetivo común: el avance de la profesión para poder ofrecer nuestra mej...