Evolution of architectural floor plans

Layout planning is a process of sizing and placing rooms (e.g. in a house) while a t t empt ing to optimize various criteria. Often the r e are conflicting c r i t e r i a such as construction cost, minimizing the distance between r e l a t ed activities, and meeting the area requirements for these activities. The process of layout planning ha s mostly been done by hand, wi th a handful of a t t empt s to automa t e the process. Thi s thesis explores some of these pa s t a t t empt s and describes several new techniques for automa t ing the layout planning process using evolutionary computation. These techniques a r e inspired by the existing methods, while adding some of the i r own innovations. Additional experimenLs are done to t e s t the possibility of allowing polygonal exteriors wi th rectilinear interior walls. Several multi-objective approaches are used to evaluate and compare fitness. The evolutionary r epr e s ent a t ion and requirements specification used provide great flexibility in problem scope and depth and is worthy of considering in future layout and design a t t empt s . The system outlined in thi s thesis is capable of evolving a variety of floor plans conforming to functional and geometric specifications. Many of the resulting plans look reasonable even when compared to a professional floor plan. Additionally polygonal and multi-floor buildings were also generated.

Automatic evolution of conceptual building architectures

This thesis describes research in which genetic programming is used to automatically evolve shape grammars that construct three dimensional models of possible external building architectures. A completely automated fitness function is used, which evaluates the three dimensional building models according to different geometric properties such as surface normals, height, building footprint, and more. In order to evaluate the buildings on the different criteria, a multi-objective fitness function is used. The results obtained from the automated system were successful in satisfying the multiple objective criteria as well as creating interesting and unique designs that a human-aided system might not discover. In this study of evolutionary design, the architectures created are not meant to be fully functional and structurally sound blueprints for constructing a building, but are meant to be inspirational ideas for possible architectural designs. The evolved models are applicable for today's architectural industries as well as in the video game and movie industries. Many new avenues for future work have also been discovered and highlighted.

Royal Navy Ship Collection, 1784-1816

Includes 41 copies of plans of Royal Navy ships, ranging in date from 1784 to 1816. Some of the ships included are the Bonne Citoyenne, Niagara, Epervier, Comet, Contest, Ferret, Childers, Anacreon, Florida, Hind, Hermes, Psyche, Princess Charlotte, Contest, Prince Regent, Caroline, Thetis, Statira, Forte, Pelican, Crescent, Euryalus, Chesapeake, Acasta, Banterer, Leda, Endymion, Amphion, President, Tonnant, Ramillies, Boyne, and St. Lawrence. Many of these ships were used by the British during the War of 1812. The original plans are at the National Maritime Museum in Greenwich, London. Also included is a copy of a handwritten chart with the number and size of the British and United States Squadrons on Lake Ontario, March 1814 (during the War of 1812). This includes the number and caliber of long guns and carronades, as well as the weight of metal, for different ships. British ships include the Prince Regent, Princess Charlotte, Wolfe, Royal George, Melville, Moira, Sir Sidney Smith, and Beresford. American ships include the [General] Pike, Madison, Oneida, Sylph, Gen’l Tompkins[?], Conquest, Fair American, Ontario, Pert, Asp, and Lady of the Lake. Also included is a copy of a map titled “Track of the Action”, tracking the movements of the HMS Java and the USS Constitution, dated December 29, 1812, and a copy of a map of Lake Champlain and Plattsburgh Bay showing the position of a vessel(s), undated.

Notice that the Port Dalhousie and Thorold Railway map and plans have been certified by commissioners

Notice that the Port Dalhousie and Thorold Railway map and plans have been certified by commissioners. This is signed “secretary”, n.d.

Enabling and Measuring Complexity in Evolving Designs using Generative Representations for Artificial Architecture

As the complexity of evolutionary design problems grow, so too must the quality of solutions scale to that complexity. In this research, we develop a genetic programming system with individuals encoded as tree-based generative representations to address scalability. This system is capable of multi-objective evaluation using a ranked sum scoring strategy. We examine Hornby's features and measures of modularity, reuse and hierarchy in evolutionary design problems. Experiments are carried out, using the system to generate three-dimensional forms, and analyses of feature characteristics such as modularity, reuse and hierarchy were performed. This work expands on that of Hornby's, by examining a new and more difficult problem domain. The results from these experiments show that individuals encoded with those three features performed best overall. It is also seen, that the measures of complexity conform to the results of Hornby. Moving forward with only this best performing encoding, the system was applied to the generation of three-dimensional external building architecture. One objective considered was passive solar performance, in which the system was challenged with generating forms that optimize exposure to the Sun. The results from these and other experiments satisfied the requirements. The system was shown to scale well to the architectural problems studied.