in order to lighten the prestressed concrete solid members, nowadays, it is possible to make use of the advantage of hpc (fc'>60 mpa) as well as replacing the solid section with a psc thin-walled section for certain members such as circular and box columns. using the strength theory of aci, a numerical procedure along with a computer program was developed for the analysis of such sections ...

In a recent publication, we presented a new multiobjective decision-making tool for use in conceptual engineering design. In the present paper, we provide important developments that support the next phase in the evolution of the tool. These developments, together with those of our previous work, provide a concept selection approach that capitalizes on the benefits of computational optimization...

this article examines statistical inference for  where and are independent but not identically distributed pareto of the first kind (pareto (i)) random variables with same scale parameter but different shape parameters. the maximum likelihood, uniformly minimum variance unbiased and bayes estimators with gamma prior are used for this purpose. simulation studies which compare the estimators are ...

This paper reviews some state-of-the-art hybrid multiobjective evolutionary algorithms (MOEAs) dealing with multiobjective optimization problem (MOP). The mathematical formulation of a MOP and some basic definition for tackling MOPs, including Pareto optimality, Pareto optimal set (PS), Pareto front (PF) are provided in Section 1. Section 2 presents a brief introduction to hybrid MOEAs.

Three oligopoly game models and new equilibrium concepts are considered in order to investigate spectrum access scenarios in cognitive radio environments: Nash, Pareto, and the joint Nash-Pareto, Pareto-Nash equilibria. The experimental observations may be especially relevant for designing new rules of behavior for emerging radio environments.

In this paper a comparison of the most recent algorithms for Multiobjective Optimization is realized. For this comparison are used the followings algorithms: Strength Pareto Evolutionary Algorithm (SPEA), Pareto Archived Evolution Strategy (PAES), Nondominated Sorting Genetic Algorithm (NSGA II), Adaptive Pareto Algorithm (APA). The comparison is made by using five test functions.