Optimization is a buzzword, whenever researchers think of engineering problems. This paper presents new metaheuristic named dingo optimizer (DOX) which motivated by the behavior (Canis familiaris dingo). The overall concept to develop this method involving collaborative and social dingoes. developed algorithm based on hunting dingoes that includes exploration, encircling, exploitation. All abov...

The Controlled Source Audio-frequency Magnetotellurics (CSAMT) is a geophysical method utilizing artificial electromagnetic signal source to estimate subsurface resistivity structures. One-dimensional (1D) inversion modelling of CSAMT data non-linear and the solution can be estimated by using global optimization algorithms. Particle Swarm Optimization (PSO) Grey Wolf Optimizer (GWO) are well-kn...

The recent techniques built on cloud computing for data processing is scalable and secure, which increasingly attracts the infrastructure to support big applications. This paper proposes an effective anonymization based privacy preservation model using k-anonymization criteria Grey wolf-Cat Swarm Optimization (GWCSO) attaining in data. technique processed by adapting k- duplicating k records fr...

Data used in big data applications are typically kept decentralized computing resources the real world, which has an impact on design of artificial intelligence algorithms. When there significantly more observations from one class than another, dataset is said to be imbalanced. Therefore, this work, study elaborates model as SMOTE-SVM resolves imbalance issues sampling and improves overall accu...

Metaheuristic algorithms are widely used for optimization in both research and the industrial community simplicity, flexibility, robustness. However, multi-modal is a difficult task, even metaheuristic algorithms. Two important issues that need to be handled solving problems (a) categorize multiple local/global optima (b) uphold these till ending. Besides, robust local search ability also prere...

Due to the importance of beamforming in improving communication systems performance, this paper presents a novel study planar antenna arrays (PAAs) utilizing Improved Grey Wolf Optimization (I-GWO) algorithm with goal minimizing peak sidelobe level (PSLL). It is very important suppress (SLL) because it minimizes interference and received noise. A two-dimensional (2D) optimization method present...

Abstract The computational cost of modern simulation-based optimization tends to be prohibitive in practice. Complex design problems often involve expensive constraints evaluated through Finite Element Analysis or other computationally intensive procedures. To speed up the process and deal with constraints, a new dimension-selection based constrained multi-objective (MOO) algorithm is developed...

The optimization of screening parameters will directly improve the performance vibration screens, which has been a concern industry. In this work, discrete element model wet sand and gravel particles is established, process simulated using method (DEM). efficiency time are used as evaluation indices, including amplitude, frequency, direction angle, screen surface inclination, long short half-ax...

In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This is developed by hybridizing two shortcoming algorithms: Pelican Optimization Algorithm (POA) and Mlipir (KMA). Through hybridization, proposed designed to adapt advantages of both POA KMA. Several improvisations regarding are as follows. First, replaces randomized target with ...