Table of Contents
Algorithms, Volume 12, Issue 7 (July 2019)
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Cover Story (view full-size image) In this study, we present Optimus, which implements a self-adaptive differential evolution [...] Read more. In this study, we present Optimus, which implements a self-adaptive differential evolution algorithm with an ensemble of mutation strategies (jEDE), for grasshopper algorithmic modeling in Rhinoceros CAD software. We made an experiment using standard test problems, some of the test problems proposed in IEEE CEC 2005, and one design optimization problem. Experimental results show that Optimus (jEDE) outperforms Galapagos (genetic algorithm), SilverEye (particle swarm optimization), and Opossum (RbfOpt) by finding better results for 20 out of 21 problems. As the main conclusion, Optimus showed that near-optimal solutions of architectural design problems can be improved by testing different types of algorithms with respect to no-free lunch theorem. The target audience of this paper is frequent users of parametric design modeling, e.g., architects, engineers, and designers. View this paper.