The use of mathematical programming with artificial intelligence and expert systems
نویسنده
چکیده
Researchers have developed artificially intelligent (AI) and expert systems (ES) to assist in the formulation, solution and interpretation of generic mathematical programs (MP). In addition, re searchers also have built domain-specific systems either modeled around a mathematical program or which include a mathematical program module. In these systems, the specificity of the domain allows researchers to extend the interpretation or formulation beyond that available from the generic set of assumptions about mathematical programming. Further, researchers have begun to investigate the use of mathematical program formulations of expert systems. The purpose of their research has been to, e.g., understand the complexity of the expert systems and also to examine the feasibility of mathematical programming as an alternative solution methodology for those expert systems. This paper surveys and extends some of that literature that integrates AIlES and MP, and elicits some of the current research issues of concern.
منابع مشابه
Explain the theoretical and practical model of automatic facade design intelligence in the process of implementing the rules and regulations of facade design and drawing
Artificial intelligence has been trying for decades to create systems with human capabilities, including human-like learning; Therefore, the purpose of this study is to discover how to use this field in the process of learning facade design, specifically learning the rules and standards and national regulations related to the design of facades of residential buildings by machine with a machine ...
متن کاملComputer-related Medical Sciences: Artificial Intelligence and Expert Systems in Medical Sciences
This article has no abstract.
متن کاملShuffled Frog-Leaping Programming for Solving Regression Problems
There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. One of the famous algorithm in optimization problem is shuffl...
متن کاملNetwork Planning Using Iterative Improvement Methods and Heuristic Techniques
The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...
متن کاملA Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children
Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to e...
متن کامل