The Study and Introducing Artificial Intelligence Algorithm to Solve OptimizationIssues: Application, Advantages and Disadvantages

Due to the need of some organizations, especially military organizations to complex systems, modeling and simulation methods are used to evaluate and analyze the performance of these systems. One of the tools used for this purpose is the artificial intelligence algorithm. In this regard, the materials and goods flow, human resources, information and so on, can be modeled. By modeling and adjusting various scenarios, the system can be analyzed and efforts are made for potential improvements. Some of these algorithms are: genetic, neural networks, ant colony, simulated annealing and forbidden or taboo search. These algorithms will be used for such complex and non-deterministic systems as in aerial concealment, safe covert systems, considering other passive defense approaches. Therefore; this approach has several design solutions for optimizing the diagnostic quality and better strategies to understand and improve the performance, making decisions about the system under time constraint issues, acceptable. Based on the categories and their different types, these algorithms, have their own performance, functionality and features and application field and will help us in solving optimization problems. This paper intends to study and introduce artificial intelligence algorithms to solve optimization problems based on the resources and research conducted in this field. Therefore, taking the advantages, disadvantages, applications, processing time, data volumes and application field of each of them into considerations, experts in the field can select and utilize the best and most optimum algorithm to solve the complex and inconsistent problems.