A new robust optimisation algorithm, which can be regarded as a modification of the recently
developed cuckoo search, is presented. The modification involves the addition of …

Rapid product development and efficient use of existing resources are key competitive
drivers in the steel industry and it is imperative that solution strategies are capable of …

In this paper, we illustrate the use of a reference point based many-objective particle swarm
optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our framework …

Small wind turbines (SWTs) are ideal for supplying electricity to small remote communities
that do not have grid access. However, literature review and trends point out that SWTs are …

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

Optimization of a low Reynolds number airfoil for use in small wind turbines is carried out
using a Genetic Algorithm (GA) optimization technique. With the aim of creating a roughness …

This paper outlines a new computational aerodynamic design optimisation algorithm using a
novel method of parameterising a computational mesh using 'control nodes'. The shape …

This paper discusses some engineering applications of gradient free optimisation
techniques. This is achieved using the development of the cuckoo search algorithm as a …

This paper examines the use of graph based evolutionary algorithms (GBEAs) for
optimization of heat transfer in a complex system. The specific case examined in this paper …

Over the past decade there has been a surge in the interest, both academic and commercial,
in supersonic and hypersonic passenger transport. This paper outlines an original approach …