[3] An effective hybrid graph and genetic algorithm approach to process planning optimization for prismatic parts. The International Journal of Advanced Manufacturing Technology (2011).

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 ...

Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

Zhan Cao, Jiansen Yang, Xinyu Wang, Two-Speed Transmission Gear Shift Process Analysis and Optimization Using Genetic Algorithm, SAE International Journal of Electrified Vehicles, Vol. 9, No. 1 (2020) ...

Our inclusion of skewness and kurtosis makes portfolio optimization a nonlinear, nonconvex and multi-objective problem; this has been solved with the use of a genetic algorithm. Empirical results ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial ...