In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs. Also, after defining the objective function and its constraints, the convergence degree of the algorithms was compared with each other and with the absolut...

A modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray wolf optimization algorithm. The proposed variant has been tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), and the performance of modifie...

Named entity recognition (NER) is a subfield of natural language processing (NLP). It able to identify proper nouns, such as person names, locations, and organizations, has been widely used in various tasks. NER can be practical extracting information from social media data. However, the unstructured noisy nature (such grammatical errors typos) causes new challenges for NER, especially low-reso...

The use of meta-heuristic optimization methods have become quite generic in the past two decades. This paper provides a theoretical investigation to find optimum design parameters of the Stirling heat engines using a recently presented nature-inspired method namely the gray wolf optimization (GWO). This algorithm is utilized for the maximization of the output power/thermal efficiency as well as...

With the rapid development of economy, disparity between supply and demand resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm proposed (IGWO) to optimize design problems. First, a tent map used generate initial location population, which evenly distributes population lays foundation for diversified global search proces...