The structure of social networks within and across cities influences urban creativity and the potential for new knowledge creation. We propose that cities achieve greater inventive creativity when there is (1) a short average social distance among inventors in a city, and (2) those inventors are highly clustered. A short average social distance allows knowledge to circulate quickly across a lar...

We propose a new polynomial-time deterministic algorithm that produces an approximated solution for the traveling salesperson problem. The proposed algorithm ranks cities based on their priorities calculated using a power function of means and standard deviations of their distances from other cities and then connects the cities to their neighbors in the order of their priorities. When connectin...

Many Indonesian landfills include the waste that has potential to be used as an alternative fuel in cement industry. It is converted into RDF enable manufacturers use waste. The research was conducted know Municipal Solid Waste (MSW) of 3 (Bantargebang, Sumur Batu, and Cipayung) a renewable fuel. Before processing, MSW characterised because there are quality standards must meet before being Tha...

We present and analyze a Self Organizing Feature Map (SOFM) for the NP-complete problem of the travelling salesman (TSP): finding the shortest closed path joining N cities. Since the SOFM has discrete input patterns (the cities of the TSP) one can examine its dynamics analytically. We show that, with a particular choice of the distance function for the net, the energy associated to the SOFM has...

The Traveling Salesman Problem (TSP), first formulated as a mathematical problem in 1930, has been receiving continuous and growing attention in artificial intelligence, computational mathematics and optimization in recent years. TSP can be described as follows: Given a set of cities, and known distances between each pair of cities, the salesman has to find a shortest possible tour that visits ...

References • Carbon, C. C. (accepted-2006). Distance estimations between German cities: biased by social factors and the Autobahn. Lecture Notes in Computer Science. • Carbon, C. C., & Leder, H. (2005). The Wall inside the Brain: Overestimation of distances crossing the former iron curtain. Psychonomic Bulletin and Review, 12(4), 746-750. • Ekman, G., & Bratfisch, O. (1965). Subjective distance...