To build a synchronization error prediction model for the machine tool efficiently, robust whale optimization algorithm (RWOA) method proposed in this study is applied to hyperparameter of its model. The RWOA integrated non-linear time-invariant inertia weighting (NTIW) and Taguchi-based adaptive parameter exploration (ATPE) improve performance WOA promote robustness. NTIW can other algorithms,...

Cloudlet-based optimization involves deploying a set of cloudlets in an environment and assigning user tasks to optimize various metrics, including energy consumption, quality service (QoS), cost. Typically, approaches deal with them separately, which might cause sub-optimality. Furthermore, assuming the fixed location will limit dynamic adaptability problem. Enabling more optimality nature clo...

Aiming to more accurately control the wheel speed of an electric vehicle (EV) driven by four in-wheel motors, a developed whale optimization algorithm-proportional–integral–derivative (KW-WOA-PID) algorithm is proposed herein. In this study, mathematical and simulation models are built for EVs analyzing mechanical structures motors. Simulations conducted, driving requirements motors obtained. T...

Association Rule Mining(ARM) is one of the most significant and active research areas in data mining. Recently, Whale Optimization Algorithm (WOA) has been successfully applied field mining, however, it easily falls into local optimum. Therefore, an improved WOA based adaptive parameter strategy Levy Flight mechanism (LWOA) to mine association rules. Meanwhile, a hybrid that blends two algorith...

Pencarian solusi terbaik pada suatu permasalahan menjadi hal yang terus dikembangkan dari waktu ke waktu. Berbagai penelitian dilakukan dalam berbagai bidang untuk dapat menyelesaikan masalah-masalah tersebut. Salah satu cara adalah digunakannya algoritma evolusioner. evolusioner terkenal genetik (GA). Selain genetik, terdapat baru lain telah muncul dan dikembangkan, yaitu whale optimization (W...

In order to improve the shortcomings of whale optimization algorithm (WOA) in dealing with problems, and further accuracy stability WOA, we propose an enhanced regenerative based on gravity balance (GWOA). initial stage, nonlinear time-varying factor inertia weight strategy are introduced change foraging trajectory exploration range, which improves search efficiency diversity. random walk stage...

<p>The Whale Optimization Algorithm (WOA) has the characteristics of simple implementation and few adjustment parameters, which is remarkable in optimization algorithm. However, there are shortcomings such as premature convergence, slow convergence later period, low search accuracy. For these shortcomings, a novel Brownian motion-based hybrid whale algorithm (HWOA) proposed. The strategy ...

Despite the fact that many governments try to set rules guarantee having resistant buildings, there are vulnerable structures in world. Hence, establishing earthquake relief centers is an important issue order control effect of earthquake. Iran a country middle east which severely against Yazd central city Iran. Since no such study for city, this considered study.  The parcels' layer GIS map ha...

To improve the performance, robustness and stability of autotuning proportional integral derivative (PID) parameter, novel stable particle swarm optimization (NSPSO) is proposed in this paper. The NSPSO combination algorithm with new rule to reconsider survival remaining search space for handling instability system. based on proving according Lypunov theorem. Additionally, show method’s superio...

The whale optimization algorithm (WOA) is a metaheuristic based on swarm intelligence and it mimics the hunting behavior of whales. It has imperfection premature convergence into local optima. In order to overcome this disadvantage, multioperator WOA (MOWOA) proposed. Four main strategies are introduced MOWOA heighten search capacity WOA. include nonlinear adaptive parameter design, an explorat...