single point search techniques, dynamic vs. multiple objective-based techniques, stochastic vs. various neighborhood structures, and memory usage vs. There are many types of metaheuristic search techniques (Blum and Roli 2003): nature/inspired vs. They are iterative techniques with several parameters that can be tuned to fuel their search engine and span the search spaces locally, globally, and collectively (Osman and Laporte 1996). Recently, hybrid techniques that are meta-heuristic-based are showing great success in different applications (Hussain et al. Machine learning, features extraction, regression, and classification operations are built on optimum parameters selection (Burke et al. Industry, businesses, and all types of service providers are keen to find optimal solutions for their processes, maintaining the quality and the high performance of their standards. ![]() ![]() The search for optimal solutions is one of the most challenging topics in Artificial Intelligence (Abualigah et al.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |