Numerous problems encountered in real life cannot be actually formulated as a single
objective problem; hence the requirement of Multi-Objective Optimization (MOO) had arisen …

Clustering is a significant data mining task which partitions datasets based on similarities
among data. This technique plays a very important role in the rapidly growing field known as …

This paper presents a novel decomposition-based hybrid many-objective optimization
method using particle swarm optimization (PSO) and sequential quadratic programming …

In this study, a multi-objective aerodynamic optimization is performed on the rotor airfoil via
an improved MOPSO (multi-objective particle swarm optimization) method. A database of …

The present work deals with the passive control of interior sound pressure induced by
randomly vibrating structure coupled to an enclosure filled with air. The control in the low …

Uncertainties in design variables and problem parameters are often inevitable in multi-
objective optimizations, and they must be considered in an optimization task if reliable …

A new method for solving the multidisciplinary design optimization problems with a minimal
computational effort is presented. The proposed methodology is based on the combination …

The excavator working device is a typical mechanical system of electromechanical liquid
that is complex. Traditional optimization design methods are difficult to get global optimized …

Complex systems consist of many disciplines or components, which are often difficult to the
design optimize as a overall. They need to be broken down into different components, and …

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