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

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 modules ...

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 ...

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 ...

Genetic algorithm is widely used in multi-objective mechanical structure optimization. In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed.

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 ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...