At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Fintech platform QuantRate today officially announced the launch of its free AI Trading Bot , a system that supports ...

Abstract: Evolutionary multi-objective optimization algorithms are widely used for solving optimization problems with multiple conflicting objectives. However, basic evolutionary multi-objective ...

Combinatorial optimization problems in fields like logistics, finance, and computational biology are increasingly approaching the computational limits of classical methods. Many of these problems are ...

The Measurement Alternative and Ranking according to COmpromise Solution (MARCOS) method is applied for multi-criteria decision making for the selection of optimal process parameters during turning of ...

This package offers an interface for objective functions in the context of (multi-objective) global optimization. It conveniently builds up on the S3 objects, i. e., an objective function is a S3 ...

The miniaturization of antennas is crucial as it improves the integration of wireless communication system. In order to achieve miniaturization of antennas, a performance-constrained multi-objective ...

Point size N = 21^5. Number of variables D = 5 (if possible). Red points are Parto optimal solution. Blue points are infeasible solution. Grey points are feasible solution. Ye Tian, Ran Cheng, Xingyi ...

Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) present a significant challenge to surrogate-assisted evolutionary algorithms (SAEAs) in effectively balancing ...

To fully tap the abilities of renewables in reactive power optimization, this paper develops a detailed model for the power regulation capabilities of wind turbines and photovoltaic units and studies ...