The authors argue that commonly used ranking and rating methods of value surveys may have low validity in cross-cultural value comparisons because participants' reports about values can be affected by factors such as cultural differences in the meaning of particular value terms as well as the possibility that some value judgments are based on social comparison or deprivation rather than on any ...

This paper presents a new method to solve complex engineering optimization problems. This method is based on intermingling Cultural Algorithms with Tabu search meta-heuristic. The proposed approach uses a specified set of knowledge sources to update agent’s information, as well as employs the diffusion factor to propagate the best solutions in the social network. This approach avoids premature ...

in recent years, various attempts have been made by media managers to achieve a framework to move from conventional newsrooms to convergent newsrooms.so it seems that the recognition of obstacles and barriers faced by newsrooms attaches of great importance. this research is a complete series of these challenges in four categories, including: technological, organizational, cultural and instituti...

Electronic circuit optimization design is important research field in engineering applications. Circuit scale and the time of evaluate the circuit are the challenge problems for circuit optimization design algorithm and the traditional optimization algorithms cannot solve the two problems very well. Cultural Algorithms are a class of computational models derived from observing the cultural evol...

Cumulative cultural evolution is the term given to a particular kind of social learning, which allows for the accumulation of modifications over time, involving a ratchet-like effect where successful modifications are maintained until they can be improved upon. There has been great interest in the topic of cumulative cultural evolution from researchers from a wide variety of disciplines, but un...

Embedded hardware design is important in real world applications, but with the increase of the hardware scale the traditional methods can not design them well. Cultural Algorithms are a class of computational models derived from observing the cultural evolution process in nature. Aiming at the disadvantages of basic Cultural Algorithms like being trapped easily into a local optimum, this paper ...