In this chapter we present a brief analysis of the current research performed on evolutionary multiobjective optimization. After analyzing first and second generation multiobjective evolutionary algorithms, we address two important issues: the role of elitism in evolutionary multiobjective optimization and the way in which concepts from multiobjective optimization can be applied to constraint-h...

In this paper, we present performance comparisons between two popular elitism–based evolutionary multi-objective optimization algorithms -NSGA2 and SPEA2 in the presence of noise. Three test problems and six noise levels are employed in the research experiments. The results show that SPEA2 outperforms NSGA2 in the early generations. NSGA2, however, is superior during latter generations regardle...

Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary techniques for multiobjective optimization confront with several issues as: elitism, diversity of the population, or efficient settings for the specific parameters of the algorithm. In this paper, we propose a new evolutionary...

Brazil's political history had long been marked by authoritarian, techno-bureaucratic regimes in which the state dominated over civil society. A political culture based on a tradition of clientelism and patrimonial elitism meant that the management of municipal public budgets (the 'black box' as it was known) was far from transparent. All this produced a society with extreme social inequalities...

The approach to computer aided hierarchical circuit design on the base of univariate algorithms was derived by the analysing the mathematical principles behind recombination. In this paper it is considered how to introduce mutation in this approach. A number of experiments applied to circuit design are discussed. Experiments indicate that mutation and elitism increase the performance of the alg...

In this paper the design and implementation of two versions of the compact Genetic Algorithm (cGA), with and without mutation and elitism, and a Cellular Automata-based pseudo-random number generator on a Field Programmable Gate Arrays (FPGAs) are accomplished. The design is made using a Hardware Description Language, called VHDL. Accordingly, the obtained results show that it is viable to have...

Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(mN3) computational complexity (where m is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algo...

This critical review examines the effects of notched-sound therapy on the human auditory system and its’ potential as a novel and effective treatment option for tinnitus. Studies evaluated consisted of one mixed groups randomized clinical trial, two mixed groups pseudorandomized clinical trials, and two mixed groups non-randomized clinical trials. Analyses of these studies revealed moderate evi...

Frobenius bimodules are connected with Frobenius algebras and extensions. For instance, a ring extension φ : R → S is a Frobenius extension if and only if RSS is a Frobenius bimodule [1]. Brzeziński and Gómez-Torrecillas studied in [4] certain properties of comatrix corings in relation to properties of bimodules. In particular they showed that the comatrix coring [6] induced by any Frobenius bi...

Characterizations of quasi-continuousmodules and continuousmodules are given. A non-trivial generalization of injectivity (distinct from p-injectivity) is considered.