Introducing expert knowledge into evolutionary algorithms for the facility layout design
problem can provide better solutions than the mathematically optimal solutions by …

Niching in global optimisation refers to a set of techniques designed to identify multiple
optimal solutions within a nonlinear, multimodal landscape. These algorithms enhance the …

Inside digital forensic science, expert systems are utilized to clarify suspicions where
normally one or more human experts would need to be consulted. Expert systems‐based …

Many real-world problems have several optima, and the aim of niching optimisation
algorithms is to obtain the different global optima, and not only the best solution. One …

The fast evolution of mobile applications demonstrates the growing need for more resources
and processing power on mobile devices. Mobile Cloud Computing (MCC) combines cloud …

With billions of devices being connected, how to make sure that our information stays secure
is becoming a hot topic of IoT. Traditional approaches to personal authentication are …

Many niching algorithms have been proposed in recent times to cater complex real-world
problems having several global/local optima. These algorithms help in locating as many …

The interest in multi-modal optimization methods is increasing in the recent years since
many of real-world optimization problems have multiple/many optima and decision makers …

The standard covariance matrix adaptation evolution strategy (CMA-ES) is highly effective at
locating a single global optimum. However, it shows unsatisfactory performance for solving …

In this chapter, a comprehensive review of niching genetic algorithms designed to solve
multimodal optimization problems is given. First, an introduction to multimodal optimization …