Contemporary evolutionary multiobjective optimisation techniques are becoming increasingly focussed on the notions of archiving, explicit diversity maintenance and population-based Pareto ranking to achieve good approximations of the Pareto front. While it is certainly true that these techniques have been effective, they come at a significant complexity cost that ultimately limits their applica...

Metamodels undergo many changes during the evolution of several software modeling languages and projects. As a consequence, models have to be updated for preserving their conformance with the new metamodel versions. A common practice is to manually define rules for each metamodel evolution to co-evolve the corresponding models. In this paper, we propose a generic automated approach for the meta...

The typical goal in multi-objective optimization is to find a set of good and well-distributed solutions. It has become popular to focus on specific regions of the objective space, e.g., due to market demands or personal preferences. In the past, a range of different approaches has been proposed to consider preferences for regions, including reference points and weights. While the former techni...

In this article,the multiobjective optimization of cylindrical aluminum tubes under axial impact load is presented. Absorbed energy and specific absorb energy are considered as objective functions while the mean crush load should not exceed allowable limit.The geometric dimentions of tubes including diameter and length of tube are selected as the design variables.The Non-dominated sorting Genet...

Model-Driven Engineering (MDE) aims at raising the level of abstraction in software development and therefore relies on task automation. To foster automation, MDE promotes the use of specific domain languages (DSLs), essential to express ideas at the domain level. Furthermore, to ease communication between computer science and other fields, modelers employ model examples (i.e., selected metamod...

RÉSUMÉ. In this paper, we present a global optimisation method based on a multi-objective Genetic Algorithm (GA) for the design of filter banks in a lossy image coding scheme. To be effective, the filter banks should satisfy a number of desirable criteria related to such scheme. We formulate the optimization problem as multi-objective and we use the Non-dominated Sorting Genetic Algorithm appro...

The determination of efficient routes and schedules in public transport systems is complex due to the vast search space and multiple constraints involved. In this paper we focus on the Urban Transit Routing Problem concerned with the physical network design of public transport systems. Historically, route planners have used their local knowledge coupled with simple guidelines to produce network...