Various complex problems have recently encouraged research and development of different
bio-inspired optimisation algorithms, a well-known instance being the artificial bee colony …

The global warming is a major concern in the present era that arises a need of cleaner
production of energy. The wind energy is a major source of contribution for such clean …

The theoretical studies of differential evolution algorithm (DE) have gradually attracted the
attention of more and more researchers. According to recent researches, the classical DE …

Convergence analysis of any random search algorithm helps to verify whether and how
quickly the algorithm guarantees convergence to the point of interest. Butterfly optimization …

Reverse identification of line parameters plays an important role in the calculation and
analysis of the power grid, However, based on the absence of many original line parameters …

Today, software projects are a major part of information and business technology. Estimating
the cost and delivery time of a project is one of the most important aspects of its development …

Accurate estimation of software service development effort is a great challenge both in
industry and for academia. The concept of effort is an important and effective parameter in …

This chapter gives an overview of Differential Evolution (DE), then presents adaptive and
self-adaptive mechanisms within the DE algorithm. They can be used in order to make a DE …

Differential evolution algorithms represent an efficient framework to tackle complicated
optimization problems with many variables and involved constraints. Nevertheless, the …

Many researches have identified that differential evolution algorithm (DE) is one of the most
powerful stochastic real‐parameter algorithms for global optimization problems. However, a …