As international efforts to address climate change grow, an increasing number of countries
and companies have put forward a clear “net zero” goal through accelerated renewable …

This paper presents a review of the optimization techniques and strategies applied to wind
turbine performance optimization. The topic is addressed by identifying the most significant …

This paper presents a new cooperative coevolving particle swarm optimization (CCPSO)
algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO) …

Aerodynamic optimisation has become an indispensable component for any aerodynamic
design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind …

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

This paper concerns multiobjective optimization in scenarios where each solution evaluation
is financially and/or temporally expensive. We make use of nine relatively low-dimensional …

This paper gives an overview of meta-heuristics methods utilized within the paradigm of
multi-objective programming. This is an area of research that has undergone substantial …

Over the last decade, memetic algorithms (MAs) have relied on the use of a variety of
different methods as the local improvement procedure. Some recent studies on the choice of …

A genetic algorithm is compared with a gradient-based (adjoint) algorithm in the context of
several aerodynamic shape optimization problems. The examples include singlepoint and …

Leakage detection and calibration of hydraulic models are important issues for the
management of water and other distribution networks. An inverse transient model based on …