In the last years the population of Leon City, located in the state of Guanajuato in Mexico, has been considerably growing, causing habitants to occupy most of their time in public transportation. As a consequence of the demographic increase and bottleneck traffic, users deal with the daily problem of optimizing their time to get on time to their destiny. To give a solution to this problem of o...

This paper proposes to integrate immune quantum evolutionary algorithm into cultural algorithms frame to develop a more efficient cultural immune quantum evolutionary algorithm (CIQEA). The computing model consists of a population space based on quantum-inspired evolutionary algorithm and a belief space based on immune vaccination, the population space and belief space have their own population...

AbstractIn this paper, a novel functional network designing method based on cultural algorithm is proposed. This method can get the hybrid basis function and its parameters with optimal searching achieving the learning between functional network structure and the functional parameters, and each model of the initial set is evaluated by the adjusted  R squared criterion ) ( 2 a R , to find the o...

Bioinspired algorithms are a generic term used to refer to the solution of computational problems, based on the planning and implementation based on existing models in the evolutionary process-related nature. Most evolutionary algorithms proposed paradigms that occur in the biology of living things and concepts of natural selection, mutation and reproduction. However, other paradigms that can b...

Evolutionary algorithms have been widely used to solve complex engineering optimization problems with large search spaces and nonlinearity. Both cultural algorithm (CA) genetic (GAs) a broad prospect in the field. The traditional CA has poor precision solving easily falls into local optima. An efficient hybrid evolutionary method coupling GAs (HCGA) is proposed this paper. HCGA reconstructs fra...

An innovative material constituted of a natural biopolymers blend (Funori) from Gloiopeltis algae and Ca(OH)2 nanocrystals was developed to consolidate linen fibers for cultural heritage conservation preventing future degradation due the alkaline reservoir by Ca(OH)2. The procedure extract Funori reliable reproducible consolidation performances aged Funori/Ca(OH)2 smart system were showed highl...

Darwin-inspired population thinking suggests approaching culture as a population of items of different types, whose relative frequencies may change over time. Three nested subtypes of populational models can be distinguished: evolutionary, selectional and replicative. Substantial progress has been made in the study of cultural evolution by modelling it within the selectional frame. This progres...

Models of cultural evolution study how the distribution of cultural traits changes over time. The dynamics of cultural evolution strongly depends on the way these traits are transmitted between individuals by social learning. Two prominent forms of social learning are payoff-based learning (imitating others that have higher payoffs) and conformist learning (imitating locally common behaviours)....

Cellular automata (CA) play an important role in the development of computationally efficient microscopic traffic models and recently have gained considerable importance as a mean of optimising traffic control strategies. However, real-time application of the available CA models in traffic control systems is a difficult task due to their discrete and stochastic nature. This paper introduces a n...

The course of socio-cultural transition can neither be aimless nor arbitrary, instead it requires a clear direction. A common goal of social species' evolution is to move towards an advanced spiritual and conscious state. This study aims to develop a population-based algorithm on the basis of cultural transition goal. In this paper, the socio-cultural model based on a system thought framework c...