This paper presents a new approach to multiobjective optimization by evolutionary algorithm. The approach is based on fuzzification of Pareto dominance relation. Using fuzzy degrees of dominance, a set of vectors (multiple objectives) can be partially ranked. The FDD algorithm, a modification of standard genetic algorithm using this ranking scheme for the selection operations, is presented and ...

The paper introduces a novel problem based on causal modeling in marketing where knowledge discovery is able to provide useful results (as shown in a real-world application). The problem features (with uncertain data and available expert knowledge) and the proposed multiobjective optimization approach makes genetic fuzzy systems to be a good framework to deal with that.

In EU countries, primary energy consumption in buildings represents about 40% of total energy consumption and more than a half of this energy is used for indoor climate conditions. The use of appropriate automatic control strategies for passive systems control could result in energy savings when compared to manual control. Fuzzy Logic Controllers (FLCs) have been successfully applied to a wide ...

System reliability optimization is often faced with imprecise and conflicting goals such as reducing the cost of the system and improving the reliability of the system. The decision making process becomes fuzzy and multi-objective. In this paper, we formulate the problem as a fuzzy multi-objective nonlinear program (FMOOP). A fuzzy multiobjective genetic algorithm approach (FMGA) is proposed fo...

Fuzzy logic controller; Adaptive; Traffic conditions; Genetic algorithm; Multi-objective; Pareto; Full-vehicle model. Abstract Vehicle ride comfort is a function of the frequency content of transmitted vibrations to passengers from road irregularities. However, this frequency content varies with vehicle speed fluctuations, which occur under real traffic conditions. The design of an adaptive act...

The importance of energy preservation in wireless sensor networks is long established, and a number of maximum lifetime routing schemes exist in the literature. Many of the existing online routing schemes are based on the use of some edge-weight functions, but those schemes exhibit diverse performances in terms of the obtained lifetime results. The major contribution of the present work is to c...