In this paper, we combine a novel Sequential Graph Coloring Heuristic Algorithm (SGCHA) with a non-systematic method based on a cultural algorithm to solve the graph coloring problem (GCP). The GCP involves finding the minimum number of colors for coloring the graph vertices such that adjacent vertices have distinct colors. In our solving approach, we first use an estimator which is implemented...

The paper discusses the innovative sense of using Decision Support System based on a Bioinspired Algorithm related with Social Modelling in the build of three different scenarios to analyze the future promotion of sports in a larger city in Mexico, this research which permits select a specific number of locations to practice each one of 47 sports –In a time horizon of 20 years-related with a Na...

Partial classification popularly known as nugget discovery comes under descriptive knowledge discovery. It involves mining rules for a target class of interest. Classification “If-Then” rules are the most sought out by decision makers since they are the most comprehensible form of knowledge mined by data mining techniques. The rules have certain properties namely the rule metrics which are used...

This article argues that contemporary, computer-mediated, algorithmic forms of sociality problematize a long and major tradition in cultural anthropology, which has appropriated the notion of artistic style to theorize culture as a relatively distinct, coherent, and durable configuration of behavioral dispositions. The article’s ethnographic site is a lab in a major institute of technology in t...

Nearly every community of practice develops its own representations to support the practices of the community. For example, the community of electric circuit designers has developed circuit diagrams to represent electric circuits. Members of that community rely on such diagrams to discuss, communicate, and document what they do. Past research has established that members of a given community no...

A novel cultural quantum-behaved particle swarm optimization algorithm (CQPSO) is proposed to improve the performance of the quantum-behaved PSO (QPSO). The cultural framework is embedded in the QPSO, and the knowledge stored in the belief space can guide the evolution of the QPSO. 15 high-dimensional and multi-modal functions are employed to investigate the proposed algorithm. Numerical simula...

This paper proposes a technique in which domain knowledge obtained from the search is used to improve the performance of evolutionary programming. Our approach is based on the concept of a cultural algorithm and is applied to constrained optimization problems in which a map of the feasible region is used to guide the search more efficiently. Our implementation uses 2-trees to store more efficie...

The deficiency of our present education in moulding the future generation to develop a social and natural out look is discussed in this paper. Also the author lighlights here the significance Adhyatma forms of teaching and cultural evolution takes place to that effect.