With the advent of information age, iterative speed software update is gradually accelerating which makes development severely limited by testing. Test case prioritization an effective way to accelerate testing progress. introduction heuristic algorithm this task, processing efficiency test cases has been greatly improved. However, overcome shortcomings slow convergence and easy fall into local...

A high level of computation is required for edge detection in color images captured by unmanned aerial vehicles (UAVs) to address issues, such as noise, distortion, and information loss. Thus, an method UAV-captured based on the improved whale optimization algorithm (WOA) proposed this study. In method, image pixels are represented quaternions, global random position variables exchange mechanis...

The Jiles-Atherton model is key to researching the hysteresis loop. focus of scholars across various countries has always been parameter identification model. This paper on Levy whale optimization algorithm (LWOA), based (WOA), proposes overcome disadvantage that WOA tends involve local optimum. recommended uses flight strategy instead encircling prey policy since former improves global search....

The whale optimization algorithm (WOA) is inspired by humpback social behavior and WOA a popular swarm intelligence algorithm. Yet, the does have certain flaws, such as restricted global search capability an inconsistent convergence speed, when dealing with complex problems, easy to fall into local optimum. To address WOA’s shortcomings, modified exploitability enhancement called MWOA-CEE propo...

Purpose: The development of metaheuristic algorithms has increased by researchers to use them extensively in the field business, science, and engineering. One common optimization is called Grey Wolf Optimization (GWO). algorithm works based on imitation wolves' searching process attacking grey wolves. main purpose this paper overcome GWO problem which trapping into local optima. Design or Metho...

In Wireless Sensor Networks (WSNs), routing algorithms can provide energy efficiency. However, due to unbalanced consumption for all nodes, the network lifetime is still prone degradation. Hence, efficient was developed in this article by selecting cluster heads (CH) with help of adaptive whale optimization (AWOA) which used reduce time-consumption delays. The multi-objective function CH select...