Sentence examples for mutation operators with from inspiring English sources

The proposed method is able to outperform existing human designed mutation operators with statistical significance in most cases, with competitive results observed for the rest.

The main objective of this research is to design a new constraint based genetic crossover and mutation operators with the effective heuristic initialization to solve channel allocation with minimal computational complexity.

We propose to include mutiple crossover and mutation operators with a dynamic selection scheme into a multiobjective genetic algorithm in order to choose the best crossover operator to be used at any given time.

The restricted 2-opt search and a new local search algorithm that combines three mutation operators with centpercentnt of mutation probability have been incorporated for hybridizing the simple GA for obtaining better solutions for the problem.

Considering the 16 first mutation operators with DCL R (o k )=0%% (IHD, LOD, OMD, JDC, EOA, ISI, PPD, PCC, PMD, IOR, IOP, IPC, IHI, JID, IOD and PCI), the cumulative cost is 174 mutants in Cassandra, 1,043 mutants in Apache POI, 10,033 mutants in Hibernate, summing up 11,250 mutants considering all the three systems together.

Step 6: applying mutation operator with a defined probability for each child.

Subsequently, GONG, et al [24] developed a ranking-based mutation operator with an improved dynamic diversity mechanism for COPs.

A k-point crossover operator with P c  = 0.5 and a uniform mutation operator with P m  = 0.001 and 0.005 were used as the other GA operators.

Inspired by the classical PSO method and quantum mechanics theories, this work presents novel quantum-behaved PSO (QPSO) approaches using mutation operator with Gaussian probability distribution.

In HDNA-GA, three new crossover operators, replacement operator, transposition operator and reconstruction operator, are designed to improve the population diversity, and the mutation operator with adaptive mutation probability is applied to guarantee against stalling at local peak.

As we said with crossover probability pc, each pair is recombined by the crossover operator to create two child individuals that is enter the offspring population; Otherwise the two parents undergoes a mutation by the mutation operator with mutation probability pm and then enter the offspring population so we have new generated solutions.