MATLAB-based optimization framework for nanophotonic structures using multi-objective genetic algorithms integrated with Lumerical FDTD. Automatically tunes geometry to minimize propagation loss and ...

Abstract: Genetic Algorithm (GA) is a very popular evolutionary technique that has been used for single and multi-objective optimization problems. MATLAB, a widely used technical computing language, ...

📢 Project Introduction This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II (Non-dominated Sorting Genetic Algorithm II) SPEA2 ...

1 School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China 2 College of Engineering and Science, Victoria University, Melbourne, VIC, Australia Building design ...

Abstract: Multi-objective optimization plays an important role in automotive power train, but there is the problem of inaccurate multi-objective optimization. The traditional ant colony algorithm ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

Special Issue No. 94: Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development (SUMMER 2019), pp. 406-410 (5 pages) Published By: Coastal Education & Research ...