Diverse forms of opposition are already existent virtually everywhere around us, and utilizing
opposite numbers to accelerate an optimization method is a new idea. Since 2005 …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

Optimization is a classical issue and in many areas that are bound up with people's daily life.
In current decades, with the development of human civilization and industry society, many …

Under partial shading condition, the power-voltage curve of the photovoltaic (PV) system
contains several maximum power points (MPPs). Among these points, there is only single …

Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

The major use of a power point tracking controller is to maximize or enhance the power
generation in photovoltaic systems. These systems are steered to operate and maximize the …

In this paper, an enhanced version of the opposition-based differential evolution (ODE) is
proposed. ODE utilizes opposite numbers in the population initialization and generation …

Population initialization is a crucial task in evolutionary algorithms because it can affect the
convergence speed and also the quality of the final solution. If no information about the …

We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

For many soft computing methods, we need to generate random numbers to use either as
initial estimates or during the learning and search process. Recently, results for evolutionary …