Although computational techniques for solving Multiobjective Optimization Problems (MOPs)
have been available for many years, the recent application of Evolutionary Algorithms (EAs) …

Multiobjective Evolutionary Algorithms (MOEAs) are an expanding research area in the
Evolutionary Computation eld. The rst MOEA was Scha er's Vector Evaluated Genetic …

Complexity in solving real‐world multicriteria optimization problems often stems from the fact
that complex, expensive, and/or time‐consuming simulation tools or physical experiments …

This paper presents a novel aerodynamic design optimization method for airfoils. The
existing optimization method is transformed from being aerodynamic coefficient-oriented to …

This article overviews a genetic algorithm based computer-aided approach for preliminary
design and shape optimisation of cam profiles for cam operated mechanisms. The primary …

In this study, a surrogate model is applied to multi-objective aerodynamic optimization
design. For the balanced exploration and exploitation with the surrogate model, objective …

TO develop new supersonic transport (SST), many research activities have been performed
worldwide (for example, Ref. 1). In Japan, National Aerospace Laboratory (NAL) is …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

In this paper, wing-body configurations for a next generation Supersonic Transport are
designed by means of Multiobjective Evolutionary Algorithms. SST wing-body configurations …

This article proposes a new way of aerodynamic design optimization by transferring current
ubiquitous performance oriented optimization to flow field oriented optimization through …