Advanced Multi-Objective Optimization Algorithms

Expert-guided multi-objective optimization: an efficient strategy for parameter estimation of biological systems with limited data.

This paper introduces a hybrid calibration framework that integrates expert knowledge into multi-objective optimization for biological model parameter estimation, showing improved biological relevance and reduced overfitting.

Comparison of Multi-objective Evolutionary Algorithms to Solve the Modular Cell Design Problem for Novel Biocatalysis

This study compares multi-objective evolutionary algorithms for modular cell design in biocatalysis, finding that real-world performance differs from artificial benchmarks and identifying effective parameter configurations.