Breast cancer is one of the most common and dangerous types in women worldwide. Since it generally a genetic disease, microarray technology-based prediction technically significant among lot diagnosis methods. The gene expression data contains fewer samples with many redundant noisy genes. It leads to inaccurate diagnose low accuracy. To overcome these difficulties, this paper proposes an Impro...

No-Wait Flowshop Permutation Scheduling Problem (NWPFSP) is a scheduling problem that states every job completed on machine n must be processed immediately the next machine. The NWPFSP an extension of flowshop problem. This article proposes two new algorithms fire hawk optimization and beluga whale optimization, to solve minimize makespan. developed are tested three different cases. Each algori...

In recent years, finding the optimal solution for image segmentation has become more important in many applications. The whale optimization algorithm (WOA) is a metaheuristic technique that advantage of achieving global while also being simple to implement and solving real-time problems. If complexity problem increases, WOA may stick local optima rather than optima. This could be an issue obtai...

The problem of backfilling pipeline invalidation has become a bottleneck restricting the application and development technology. This study applied whale optimization algorithm random forest (WOA–RF) to predict risk pipelines based on 59 datasets from actual mines. Eight influencing factors were chosen as input parameters WOA–RF model, level was selected output model. Furthermore, forest, decis...

Feature selection is a very important direction for network intrusion detection. However, current feature technology of detection has the problems low rate and accuracy due to redundancy. An improved Butterfly Optimization Algorithm combined with Black Widow (BWO-BOA) proposed in this paper, which introduces dynamic adaptive search strategy global phase (BOA), uses movement process (BWO) algori...

global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

When facing certain problems in science, engineering or technology, it is not enough to find a solution, but essential seek and the best possible solution through optimization. In many cases exact optimization procedures are applicable due great computational complexity of problems. As an alternative optimization, there approximate algorithms, whose purpose reduce by pruning some areas problem ...