Sentence examples for proposed operators from inspiring English sources

Additionally, we show how to use proposed operators for simultaneous classifier combination and ensemble pruning.

Besides these newly proposed operators, mutation and crossover operators have been used.

Our proposed operators are compared with state-of-the-art genetic operators for permutation problems.

In addition, the results demonstrate that the proposed operators can be employed to design a confident robust optimisation process and are readily applicable to different meta-heuristics.

The proposed operators adapt to the requirements and objective preferences of each subproblem dynamically during the evolution, resulting in significant improvements on the overall performance of MOEA/D.

The performance of the proposed operators has been discussed in detail and compared to other operators, and the performance of the proposed algorithm is demonstrated in 16 benchmark functions and two engineering optimization problems.

The results show the usefulness and applicability of the proposed operator.

The proposed operator can be used with multiple distance functions and data types.

Furthermore, five fewer transistors are needed to design the proposed operator in contrast with both operators SUM and CCW.

The proposed operator is inspired by genetically modified organisms (GMOs), where important features are artificially introduced into their genome.

Moreover, a two-stage bound-checking mechanism and an adaptive parameter setting scheme are designed to assist the proposed operator.