Sentence examples for minimizing a multi-objective from inspiring English sources

The Bees algorithm is used to determine the optimal parameters for the backstepping controller by minimizing a multi-objective function.

In the model updating technique proposed in this study, error functions are set as the differences between measured and model's modal parameters and the maximum strain subject to impact force, and the functions are minimized using a multi-objective optimization algorithm.

The multi-objective model is constructed by minimizing a set of multi-objective error functions between the time series of observations and corresponding calculated values.

The proposed algorithm minimizes a multi-objective function which combines the energy-consumption and execution time according to the energy-performance importance factor provided by the resource provider or user, also taking into account sequence-dependent setup times between tasks, setup times and down times for virtual machines (VM) and energy profiles for different architectures.

The rate parameters were determined in a systematic way by estimation techniques minimizing a multi-response objective function.

In this work a planning methodology for deep water anchor deployment in offshore platforms and floating production systems aiming at operational resources optimization is explored, by minimizing a multi criteria objective function.

Integrated Multidisciplinary Design Optimization MDOO) is used to minimize a composite multi-objective function.

Both volume shrinkage and clamping force should then be minimized simultaneously, and a multi-objective design optimization is formulated.

The obtained results indicate that maximizing the system efficiency while minimizing system cost is a multi-objective optimization problem.

Also, a comparison of cycles modeling results is carried out in optimum conditions according to different optimization which consist thermodynamic, economic and thermo-economic objective functions for maximizing exergy efficiency, minimizing specific investment cost and applying a multi-objective function in order to maximize exergy efficiency and minimize specific investment cost, respectively.

Similarly, a multi-objective genetic algorithm minimizing the migrated data and the energy dissipated in the next mode has been used for the remaining modes.