2017 | OriginalPaper | Chapter
9. Modified Big Bang–Big Crunch Algorithm
Abstract
The Big Bang–Big Crunch (BB–BC) method developed by Erol and Eksin [1] consists of two phases: a Big Bang phase and a Big Crunch phase. In the Big Bang phase, candidate solutions are randomly distributed over the search space. Similar to other evolutionary algorithms, initial solutions are spread all over the search space in a uniform manner in the first Big Bang. Erol and Eksin [1] associated the random nature of the Big Bang to energy dissipation or the transformation from an ordered state (a convergent solution) to a disorder or chaos state (new set of solution candidates).
