Evolutionary computation: a unified approach

Recently, an idea of evolutionary multi-tasking has been proposed and applied to various types of optimization problems. The basic idea of evolutionary multi-tasking is to simultaneously solve multiple optimization problems (i.e., tasks) in a ...

Many evolutionary algorithms, developed for solving complex optimisation problems, deploy the elitist strategy. The elitist strategy ensures that a group of the fittest individuals will be transferred to the next generation before performing any ...

Many real-world optimization problems are subject to dynamic environments, where changes may occur over time regarding optimization objectives, decision variables, and/or constraint conditions. Such dynamic optimization problems (DOPs) are challenging ...