Several reviews have been made regarding the methods and application of multi-objective
optimization (MOO). There are two methods of MOO that do not require complicated …

Among renewable sources of energy, wind is the most widely used resource due to its
commercial acceptance, low cost and ease of operation and maintenance, relatively much …

Many problems that are encountered in real-life applications consist of two or three
conflicting objectives and many decision variables. Multi-guide particle swarm optimization …

Pumps in reverse function are one of the most cost-effective industrial devices to generate
power from small hydropower capacities. Due to the fact that the pump components are not …

The continuous and the binary techniques are the main types of genetic algorithms that
could be employed for an optimization problem. The study investigates the robustness and …

In this paper, a reaction-diffusion COVID-19 model is proposed to explore how vaccination-
isolation strategies affect the development of the epidemic. First, the basic dynamical …

This work presents a concurrent design and multi-objective optimisation framework of
horizontal axis wind turbine blades, made of composite material, for low wind speed. The …

To capture tidal current energy to the greatest extent possible, the turbines must to be large
in-scale. When the turbine is close to the free surface, with high energy-flow density …

This paper describes a computer method to allow the design of small wind turbine blades for
the multiple objectives of rapid starting, efficient power extraction, low noise, and minimal …

Horizontal axis tidal turbines (HATT) conversion of ocean tidal waves into electricity
represents a promising source of clean and sustainable energy. However, the widespread …