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...

Based on a bibliographic review, the article identifies and offers a critical analysis of scientific production by the public health field in Brazil on genetically modified organisms and food (in)security. Of the 716 articles found on the portals of the Scientific Electronic Library Online (SciELO) and the Coordinating Agency for the Development of Higher Education (Capes), only 8 address the f...

Minimizing energy costs while maintaining consumer satisfaction is a very challenging task in smart home. The contradictory nature of these two objective functions (cost and level) requires multi-objective problem formulation that can offer several trade-off solutions to the consumer. Previous works have individually considered cost satisfaction, but there lack research considers both objective...

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...