Scientific Research Publishing

Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks ()

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Pareto-optimized windbreak designs proposed for sustainable arid agriculture

In a new review, researchers from the Xinjiang Institute of Ecology and Geography (XIEF) of the Chinese Academy of Sciences ...
BioProcess International

Doing More with Less: Multifidelity Optimization in the Biopharmaceutical Industry

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...
IEEE

Improving NSGA-II for solving multi objective function optimization problems

Abstract: It is important for any MOEA (Multi Objective Evolutionary Algorithm) to improve convergence and diversity of solutions of Pareto front, which is obtained at the termination of MOEA. There ...
IEEE

Multi-Objective Optimization of Machine Learning-Based Nonlinear Equalizers for Digital Coherent Optical Interconnects

Abstract: The growing demand for high-capacity optical networks has driven the advancement of digital coherent optical communication systems, which rely on sophisticated signal processing to mitigate ...