Many optimization problems have been successfully addressed using metaheuristic approaches. These approaches are frequently able to choose the best answer fast and effectively. Recently, use of swarm-based algorithms, a kind approach, has become more common. In this study, hybrid method called WOAGWO is proposed by combining Whale Optimization Algorithm (WOA) Grey Wolf (GWO). This aims realize ...

Abstract With the development of energy Internet, integrated network electricity-gas interconnection has become an important research object optimization. To improve absorption capacity and utilization efficiency renewable in a regional network, comprehensive multi-objective optimization model containing power to gas (P2G) is proposed this paper. The considers two objectives pollutant emission ...

Aiming at the problems of modal aliasing and poor noise resistance when processing vibration acceleration signal rolling bearings by empirical decomposition (EMD), a variational (VMD) method based on parameter optimization is proposed. Combined with improved particle swarm algorithm (IPSO) envelope entropy, VMD layers penalty parameters were optimized. The components high correlation coefficien...

It is extremely critical for an emergency response to quickly and accurately use source term estimation (STE) in the event of hazardous gas leakage. To determine appropriate algorithm, four swarm intelligence optimization (SIO) algorithms including Gray Wolf optimizer (GWO), particle (PSO), genetic algorithm (GA) ant colony (ACO) are selected be applied STE. After calculation, all can obtain le...

Support Vector Machine (SVM) is often used in regression and classification problems. However, SVM needs to find proper kernel function solve high-dimensional We propose an improved Sparrow Search Algorithm (ISSA-SVM) algorithm optimize the parameters. First, problem of slow convergence due lack ergodicity poor diversity initial population effectively overcome by using Sine chaotic map. Second,...

The data classification method based on support vector machine (SVM) has been widely used in various studies as a non-linear, high precision, and good generalization ability learning method. Among them, the kernel function its parameters have great impact accuracy. In order to find optimal improve accuracy of SVM, this paper proposes multi-classification gray wolf algorithm optimized SVM(GWO-SV...

The recent discovery of a lineage of gray wolf in North-East Africa suggests the presence of a cryptic canid on the continent, the African wolf Canis lupus lupaster. We analyzed the mtDNA diversity (cytochrome b and control region) of a series of African Canis including wolf-like animals from North and West Africa. Our objectives were to assess the actual range of C. l. lupaster, to further est...