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

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, has its own ...

About This repository features custom implementations of three genetic algorithms for multi-objective optimization: NSGA-II, SPEA2, and Simple GA. 🧬 Developed from scratch without libraries, these ...

The MATLAB simulation results show that under certain evaluation criteria, the adaptive diversity preservation genetic algorithm is superior to the traditional ant colony algorithm in terms of ...

Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm.

Combine the advantages of multi-objective optimization and genetic algorithm to solve the model and make up for the present. The ship dispatching optimization method cannot meet the shortage of the ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...