Quality in its contemporary incarnation is commonly referred to as organizational excellence, enterprise excellence, business excellence, or performance excellence. While technology may serve as a key enabler of enterprise excellence, enterprise excellence itself is in large enabled by the human dimension both in terms of ideation and effort. The human dimension manifests in many ways, with peo...

The target article argues that whole groups can act as interactors in an evolutionary process. We believe that Smaldino's discussion would be advanced by a more thorough analysis of the appropriate replicators and lineages for this model. We show that cultural evolution is necessarily a separate process from cultural group selection, and we also illustrate that the two processes may influence e...

In recent years, Cultural Algorithms (CAs) have attracted substantial research interest. When applied to highly multimodal and high dimensional problems, Cultural Algorithms suffer from fast convergence followed by stagnation. This research proposes a novel hybridization between Cultural Algorithms and a modified multiple trajectory search (MTS). In this hybridization, a modified version of Cul...

Cultural creative products are important carriers of cultural heritage and play a very role in the inheritance, innovation, dissemination culture. At present, emerge an endless stream with variety patterns. No matter function or form, most them still follow traditional design method, product style is relatively single, identification not strong, heat enough. Therefore, products, it far from mee...

This paper introduce one innovations into the world of multimodal function optimization: a new Cultural Algorithm (CA) based on Genetic Algorithm (GA) with a new adaptive mutation (AM-CGA). The idea is to use knowledge about local optima found during the search with other techniques utilized for escape from local minimum in multimodal functions. The search knowledge was maintained using a Cultu...

Analogous to biological evolution, cultural evolution also is a kind of optimal mechanism of nature. Studying this mechanism might possibly provide a more efficient computation for solving complicated problems, such as knowledge acquisition in large data set. In this paper, an algorithm, granular evolutionary algorithm for data classification, simply written as GEA, is proposed based on cultura...