This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is integration optimization algorithm (CWOA) in search (CSA). The framework operates on two crucial aspects: one to select secure nodes, and other implement routing using selected trusted nodes. First, selection nodes performed based trust factors like direct, indirect, f...

Introduction. Dynamic Economic Emission Dispatch is the extended version of traditional economic emission dispatch problem in which ramp rate taken into account for limit generators a power network. Purpose. considered treats economy and emissions as competitive targets optimal problems, to reach solution it requires some conflict resolution. Novelty. The decision-making method solve has goal e...

The flexible job shop scheduling problem (FJSP) is an extension of the classical and one more well-known NP-hard problems. To get better global optima FJSP, a novel hybrid whale optimization algorithm (HWOA) proposed for solving in which minimizing makespan considered as objective. Firstly, uniformity extensiveness initial population distribution are increased with good point set (GPS). Secondl...

The joints running trajectory of a robot directly affects it’s working efficiency, stationarity and quality. To solve the problems slow convergence speed weak global search ability in current commonly used joint optimization algorithms, planning method based on slime mould whale algorithm (SMWOA) was researched, which could obtain within short time with low energy consumption. On basis analyses...

To solve the problems that whale optimization algorithm is easy to fall into local and slow convergence speed, improved proposed. Firstly, uses Skew Tent chaotic map initialize population, improve diversity of original population make individual position distribution whales more uniform; Secondly, nonlinear factor based on inverse incomplete ? function used balance global exploration developmen...

This paper presents the impact of introducing a two-controller on linearized autonomous underwater vehicle (AUV) for vertical motion control. These controllers are presented to overcome sensor noise AUV control model that effect tolerance and stability depth Linear quadratic Gaussian (LQG) controller is cascaded with adapt system compared FOPID established by improved whale optimization algorit...

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...