Embedding a social fabric component into cultural algorithms toolkit for an enhanced knowledge‐driven engineering optimization
Robert G. Reynolds, Mostafa Z. Ali · International Journal of Intelligent Computing and Cybernetics · 2008
Purpose – The purpose of this paper is to introduce the notion of a social fabric (SF) in which the expression of knowledge sources (KS) in cultural algorithms (CA) can be distributed through the population. The SF influence function is applied to the solution of selected complex engineering problems and it is shown that different parameter combinations for the SF influence function can affect the rate of solution. This enhanced approach is compared with previous approaches.