Abstract

Search algorithms play a crucial role in systematic design optimization of optical structures. Though many sophisticated methods appear in the literature, physically motivated guiding principles for the design and enhancement of such methods are few. We introduce such a guiding principle—an objective-trait-bias metaheuristic—and demonstrate its value in practice. Specifically, we present a case study in which application of an instance of this metaheuristic—a transmission-bias metaheuristic—leads to significantly better performing variants of a simple stochastic local search algorithm—restarted iterative best improvement—on a challenging design optimization problem—combinatorial design optimization of a multi-spatial-mode photonic crystal waveguide bend that preserves modal content.

© 2017 Optical Society of America

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