Component-based approach for intelligent evaluation of complex algorithms

In this paper a new approach for handling the problem of comparing different complex algorithms is proposed. The main idea behind this research is to set up a framework that can be applied to the most well-known and widely used complex algorithms. A component-based framework, IEOCA (Intelligent Evaluation of Complex Algorithms) written in Java for building and studying complex algorithms like genetic algorithms and ant colony optimization is developed. The evaluation framework provides a standard testing methodology for comparing the accuracy and performance of selected algorithms.