Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

Abstract The Building-Block Hypothesis appeals to the notion of problem decomposition and
the assembly of solutions from sub-solutions. Accordingly, there have been many varieties of …

Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from
the natural selection of living beings. Among their many uses, we can count information …

Reports the results of experiments on multi-parent reproduction in an adaptive genetic
algorithm (GA) framework. An adaptive mechanism based on competing subpopulations is …

Evolutionary Algorithms are search algorithms based on the Darwinian metaphor of “Natural
Selection”. Typically these algorithms maintain a population of individual solutions, each of …

Concerns the automation of the camera network design process in order to obtain accurate
3D measurements. We restrict ourselves to the problem where the camera positions are …

Feature selection is of great importance in recognition system design because it directly
affects the overall performance of the recognition system. Feature selection can be …

Genetic programming (Koza 1992) is a method of inducing behaviors represented as
executable programs. The generality of the approach has spawned a proliferation of work in …

The development of an optimising model predictive controller for domestic storage radiators
was the ultimate goal of this research project. Neural networks are used to create empirical …

Coding segments are those subsegments of the chromosome that contribute positively to the
fitness evaluation of the chromosome. Clique detection is a NP-complete problem in which …