Sentence examples for uses evolutionary algorithms to from inspiring English sources
This method uses evolutionary algorithms to automatically search for optimal plans, representing both the charging schedule and the energy drawn from the grid at each time-step.
In this study we presented an extension of the optimal assignment method for chemical graphs that uses evolutionary algorithms to optimize the assignment edge weights with respect to a VS performance metric.
This context provides the main motivation for using evolutionary algorithms to solve multi-criteria optimization problems.
In this paper we review the recent progress in design optimization using evolutionary algorithms to solve real-world aerodynamic problems.
The second approach involves using evolutionary algorithms to minimize error function and determine the fuzzy connection weights and biases.
By now, applications of artificial life (Alife) are becoming commonplace: Social scientists use "evolutionary" algorithms to explore social interactions, for example, while biologists harness the equations for studying protein folding and lining up DNA sequences.
Using evolutionary algorithms to search for networks with diagnostic potential, we demonstrate how ABNs can be used to carry out classification when stimulated with time series data collected from human subjects with and without Parkinson's disease.
Since any type of an assembly line balancing problem is known to be NP-hard, there has been a growing tendency toward using evolutionary algorithms to solve such a hard problem.
The proposed generic filter design procedure involves three steps, first selecting a suitable filter, second identifying the transfer functions involved, and finally using evolutionary algorithms to optimize the selected filter design.
I would strongly advise any prospective Ph.D. student to meet their supervisor a few times before starting, as a mutual understanding and respect is probably more important than the exact topic of the Ph.D. My own project was to use evolutionary algorithms to optimise solutions to multiple-choice problems, such as which nurse should be allocated to which shift in a hospital.
Previously, others have used evolutionary algorithms to create problems that are hard for a specific heuristic to solve [ 20- 22].
