Multi-objective design of complex aircraft structures using evolutionary algorithms

Aesthetic Design Using Multi-Objective Evolutionary Algorithms

The use of computational methodologies for the optimization of aesthetic parameters is not frequent mainly due to the fact that these parameters are not quantifiable and are subjective. In this work an interactive methodology based on the use of multi-objective optimization algorithms is proposed. This strategy associates the results of different optimization runs considering the existent quant...

Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms

OPTIMAL CONSTRAINED DESIGN OF STEEL STRUCTURES BY DIFFERENTIAL EVOLUTIONARY ALGORITHMS

Structural optimization, when approached by conventional (gradient based) minimization algorithms presents several difficulties, mainly related to computational aspects for the huge number of nonlinear analyses required, that regard both Objective Functions (OFs) and Constraints. Moreover, from the early '80s to today's, Evolutionary Algorithms have been successfully developed and applied as a ...

Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms

This paper discusses the use of multi objective evolutionary algorithms applied to the engineering of zoning for handwriten recognition. Usually a task fulfilled by an human expert, zoning design relies on specific domain knowledge and a trial and error process to select an adequate design. Our proposed approach to automatically define the zone design was tested and was able to define zoning st...

OPTIMAL DESIGN OF TRUSS STRUCTURES BY IMPROVED MULTI-OBJECTIVE FIREFLY AND BAT ALGORITHMS

The main aim of the present paper is to propose efficient multi-objective optimization algorithms (MOOAs) to tackle truss structure optimization problems. The proposed meta-heuristic algorithms are based on the firefly algorithm (FA) and bat algorithm (BA), which have been recently developed for single-objective optimization. In order to produce a well distributed Pareto front, some improvement...