The analysis and comparison of problems by classical and intelligent optimization techniques

The idea of achieving an issue by choosing the best solution way is as olden as civilization history. Analysing that kind of achievement through classical and intelligent optimization technics and comparing these technics come to the heart of this study.In the last of optimization technics some heuristic tools have been developed. These tools make the optimization problems, of which solution is difficult or impossible, easy to solve. While these tools merge with each other, they unite conventional approaches such as information elements and statistical analysis. The purpose of these merges and unifications is to solve much more challenging problems. There are two important advantages of developing solutions by the help of these tools, which are mentioned in the context of intelligent optimization technics.-The time for developing these solutions is much shorter in comparison with classical approaches.-This approach is stronger than classical approaches as it is relatively insensitive to lost data.In this context classical optimization approaches are reviewed with examples by a general view and it is purposed to denote the fundamental information about intelligent optimization technics and demonstrate how to compute and apply by using algorithms. The object is to show the advantages indicated above by the help of problem examples.Keywords: Classical Optimization, Intelligent Optimization, Comparison, Optimal Solution