Community Complex-Inspired by Ant Algorithm

Functionality of Mixed living

Through our research and observations, we have reached a consensus that in the process of developing from a simple residential area to a sustainable and vibrant community, Makers have the following urgent life needs:
In addition to meeting guests outside the home, business, document processing, time-saving high-quality food purchases, temporary simple meals, late-night snacks, social interactions for community creators and residents, activity learning venues, natural spaces, and so on.

Ant colony algorithm

Ant colony algorithm is a probabilistic algorithm used to find optimal paths. It was proposed by Marco Dorigo in his doctoral dissertation in 1992, and was inspired by the behavior of ants finding paths in the process of searching for food. This algorithm has distributed computing, positive feedback of information and enlightenment.
The feature of hair search is essentially a heuristic global optimization algorithm in evolutionary algorithms.

The inspiration from the ant algorithm

The basic idea of ​​applying ant colony algorithm to solving optimization problems is: use the walking path of ants to represent the feasible solution of the problem to be optimized, and all paths of the entire ant colony constitute the solution space of the problem to be optimized. Ants with a shorter path release more pheromone. As time progresses, the accumulated pheromone concentration on the shorter path gradually increases, and the number of ants that choose this path increases. In the end, the entire ant will concentrate on the best path under the effect of positive feedback.

Select the point of interest logic

We determined the selection of the first-level public space based on the distance from the surrounding green space, commercial centers, office buildings, and transportation stations. There are three incubator spaces, the themes are leisure (near green space), office (near office, commercial), As well as meeting guests (close to the traffic station), this level is the response of the building function to the surrounding environment, and the logic is length distance.

Paths generation

Our second-level public space is a logical iteration of the first-level length. Through the first-level public space (and of interest), we can generate ant paths. After the pipeline is generated with t-spline, the protrusions (intersections) of the pipeline will be naturally established. These points are for us to calculate and the first-level public space And the distance and the distance from the external environment mentioned before, the filtering distance and the closest best point. In the calculation process, we will weight the internal factors and external factors ((the first-level public space affects the second-level more, then 0.7, external Then it accounts for a total of 0.3), and screening is performed to obtain secondary points of interest.

Single room type and sharing

Satoko Shinohara pointed out in "The Past and Future of Japanese Living Style-New Lifestyle Choices from Shared Housing", pointed out that the increase in the number of single-person households is one of the most serious problems currently facing Japan, and the number of "lonely deaths" is on the rise. Shows this trend. In this case, the number of shared housing is increasing. Through a survey of residents of shared houses, the author has obtained some interesting results. Unlike “one-room apartments,” residents of shared houses not only want to share
Other residents are also willing to communicate with their neighbors. The author believes that shared housing can play an important role in solving the isolation problem of solitary people.

Shared living space

We don't think that the unit is a kind of repetitive language, we can think of it as a certain modulus, similar to each other but completely different. Mass is also my word. scale. Not "degrees", but "measures"-related to a universal thing. Mass can verbally ermines. This has a kind of flexion and extension, mobility. There is nothing in it. Rather than treating a large part of the thing as the modulus itself, we chose 1M as the unit and created a room type in the Jiugong format to complete the adaptation of more units and possibilities. Furniture makes up a room, a room makes up a home, and a home makes up a community. All of this requires a unit, that is 1M. In the end, we can achieve units and communities that are similar to each other, but they will not be the same.