An architecture for a distributed intrusion detection system is proposed, and a genetic programming algorithm, extended with the ensemble paradigm, to classify malicious or unauthorized network activity is presented. The architecture is based on a distributed hybrid multiisland model that combines the two well known approaches adopted to parallelize genetic programming: the cellular and the isl...

this study emphasized the ability of genetic algorithm and cellular automate to simulate urban land use changes by integrating adaptive model. the most important part of modeling is to define transition rules.  in this research, a cellular automata model in dinamica ego software was used coupled with genetic algorithm. according to disability of the software for manipulating large number of var...

New optimization problems arise every day -for instance, what is the quickest path to work? Where and how congested is the road construction? Am I better off riding my bike? If so, what is the shortest path? Sometimes these problems are easily solved, but many engineering problems cannot be handled satisfactorily using traditional optimization methods. Engineering involves a wide class of probl...

This paper presents an evolution-based approach for solving multiple molecular sequence alignment. The approach is based on the island parallel genetic algorithm that relies on the fitness distribution over the population of alignments. The algorithm searches for an alignment among the independent isolated evolving populations by optimizing weighted sum of pairs objective function which measure...

Modern additive technologies make it possible to create structures of variable thickness and any shape. Thus, designers face problems optimal design a new type, these are topological optimization. Such determine the form structure or distribution material over structure. As rule, criterion optimality is mass However, must retain its bearing capacity under certain load. The symmetric two-shear a...

This paper presents a novel fuzzy clustering technique based on grouping genetic algorithms (GGAs), which are a class of evolutionary algorithms especially modified to tackle grouping problems. Our approach hinges on a GGA devised for fuzzy clustering by means of a novel encoding of individuals (containing elements and clusters sections), a new fitness function (a superior modification of the D...

under an intensive competitive environment, the construction industry is facing pressure to meet the higher customer expectations under a tighter budget. on the other hand, construction is one of the main sectors generating greenhouse gases. according to published statistics, construction industry is one of the most important resources of greenhouse emissions in the world. therefore, based on t...

Linkage identification algorithms identify linkage groups — sets of loci tightly linked — before genetic optimizations for their recombination operators to work effectively and reliably. This paper proposes a parallel genetic algorithm (GA) based on the linkage identification algorithm and shows its effectiveness compared with other conventional parallel GAs such as master-slave and island mode...