Reservoir operation optimisation secures benefits, such as optimising energy production
while minimising the possibility of flooding, operating costs, and water scarcity, at the lowest …

Nowadays, battery design must be considered a multi-disciplinary activity focused on
product sustainability in terms of environmental impacts and cost. The paper reviews the …

This paper presents a computational design exploration method called GA+ TRIZ, which
aids designers in defining the design problem clearly, making a parametric model where …

The selection of global best (gBest) is an important and challenging issue for multiobjective
particle swarm optimization (MOPSO) algorithms. In this paper, a distribution-knowledge …

Many machine learning algorithms require the use of good quality experimental designs to
maximise the information available to the model. Various methods to create experimental …

Due to the extraordinarily rapid growth in population and development, the demand for
energy and water has increased to critical demanding levels, globally. Thus, the reservoir …

Many machine learning algorithms require the use of good quality experimental designs to
maximise the information available to the model. Various methods to create experimental …

The selection of global best (gBest) is an important and challenging issue for multiobjective
particle swarm optimization (MOPSO) algorithms. In this paper, a distribution knowledge …