Polygonal surface models are typically used in three dimensional (3D) visualizations and simulations. They are obtained by laser scanners, computer vision systems or medical imaging devices to model highly detailed object surfaces. Surface mesh simplification aims to reduce the number of faces used in a 3D model while keeping the overall shape, boundaries and volume. In this work, we propose to...

In this paper, we deal with an important issue generally omitted in the current literature on evolutionary multiobjective optimization: on-line adaptation. We propose a revised version of our micro-GA for multiobjective optimization which does not require any parameter fine-tuning. Furthermore, we introduce in this paper a dynamic selection scheme through which our algorithm decides which is th...

Fuzzy clustering methods identify naturally occurring clusters in a dataset, where the extent to which different are overlapped can differ. Most have parameter fix level of fuzziness. However, appropriate fuzziness depends on application at hand. This paper presents an entropy c-means (ECM), method fuzzy that simultaneously optimizes two contradictory objective functions, resulting creation wit...

This paper describes a novel evolutionary data-driven model (DDM) identification framework using the NSGA-II multi-objective genetic algorithm. The central concept of this paper is the employment of evolutionary computation to search for model structures among a catalog of models, while honoring the physical principles and the constitutive theories commonly used to represent the system/ process...

In this paper, we investigate the problem of time series forecasting using single hidden layer feedforward neural networks (SLFNs), which is optimized via multiobjective evolutionary algorithms. By utilizing the adaptive differential evolution (JADE) and the knee point strategy, a nondominated sorting adaptive differential evolution (NSJADE) and its improved version knee point-based NSJADE (KP-...

The design of reliable DNA sequences is crucial in many engineering applications which depend on DNAbased technologies, such as nanotechnology or DNA computing. In these cases, two of the most important properties that must be controlled to obtain reliable sequences are self-assembly and selfcomplementary hybridization. These processes have to be restricted to avoid undesirable reactions, becau...

Because the adjustment of stay cable tension and girder counterweight is limited at operation stage it a difficult problem to control negative reaction risk auxiliary pier (NRRAP) caused by multisource construction uncertainties traffic growth. This paper proposes pavement strategy optimization NRRAP adjusting thickness. The formulated as reliability-constrained, multiobjective problem, which r...

This paper introduces a two-stage method based on bio-inspired algorithms for the design optimization of class general Stewart platforms. The first stage performs mono-objective in order to reach, with sufficient dexterity, regular target workspace while minimizing elements’ lengths. For this problem, we compare three algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Bo...

Synthesis of Poly(propylene terepthalate) (PPT) is normally carried out (in batch as well as semi-batch mode) in a combined mixture of TPA (terephthalic acid) and PG (1,3-propanediol) with a suitable catalyst in two steps: esterification and polycondensation. Functional group modeling technique is used here to analyse the semibatch PPT formation system. Objectives of multiobjective optimization...

The integration of computational grids and data grids into a common problem solving environment enables collaboration between members of the GENIEfy project. In addition, state-of-the-art optimisation algorithms complement the component framework to provide a comprehensive toolset for Earth system modelling. In this paper, we present for the first time, the application of the nondominated sorti...