Multi-objective approach to optimize irrigation using a crop simulation model and historical weather data. We propose a machine learning approach based on the crop simulation model WOFOST to assess ...

rmoo is a non-dominated sorting based multi-objective optimization package built upon the ‘GA’ package. It provides a comprehensive, flexible, and modular framework for multi/many-objective ...

In this paper, we investigate a multi-objective optimization problem (MOP) regarding power control and rendering capacity allocation by formulating it as a multi-objective optimization problem. This ...

The performance of existing multi-objective particle swarm optimization algorithms largely depends on the global or individual optimal particles stored in the external archive. To simplify the process ...

Methods Problem Formulation. To conduct multi-objective optimization, one must define the problem formulation, which is composed of decisions, objectives, constraints, and modeled relationships for ...

FP’s fractional format facilitates analysis without the need for weight coefficients, according to the paper, handling multi-objective goals, like maximizing yield while minimizing irrigation.