An evolutionary strategy enhanced with a local search technique for the space allocation problem in architecture, Part 2: Validation and performance tests

作者：Rodrigues Eugenio^*; Gaspar Adelio Rodrigues; Gomes Alvaro

来源：Computer-Aided Design, 2013, 45(5): 898-910.

DOI：10.1016/j.cad.2013.01.003

• Evolutionary strategy
• Stochastic hill climbing
• Space allocation problem
• Space planning

The first part of this paper proposed a hybrid evolutionary technique which helps architects to generate sets of floor plans in the early design stage. The algorithm is an enhanced Evolutionary Strategy (ES) with a Stochastic Hill Climbing (SHC) technique. %26lt;br%26gt;In this second part, the validity and performance of the technique is examined. Four tests are conducted. Three validation tests are used to determine the ability of the algorithm to replicate a floor plan made by an architect; the ability to produce a set of different floor plan designs by comparing the results with a well-known enumerated floor plan solution; its capability to work with less constrained problems, and to control the variation in the floor plan form with different compactness evaluators%26apos; weights. The last test determines the evolving behavior, the breakdown of the evaluators%26apos; performance for the objective function, and the robustness of the algorithm. %26lt;br%26gt;The methodologies used in the tests and the problem specifications are presented. Results and observations on the evaluators%26apos; weights and their importance and the limitations of the technique are analyzed and discussed. Finally, the conclusion to this part of the paper is made.

• 出版日期2013-5