OPTIMIZATION

Our primary focus in research and algorithm development is to develop effective optimization approaches to deal with complex engineering problems.

Over the past few decades, significant progress has been made in the field of optimization and mathematical programming, which deals with the formulation, solution, and analysis of optimization problems or mathematical programs. The analysis and solution of an optimization problem may involve graphical, algebraic, or computer-aided tools.

Our effort is to present novel metaheuristics with high efficiency, concentrating on the robust behavior of the algorithms relative to the characteristics that describe the complexity of the problem. In the development of these algorithms, special attention has been paid to the discovery of the features of the problems and connecting them to the parameters of the algorithms.

The implementation of optimization algorithms will inevitably use a programming language. However, we believe that the efficiency and performance of each algorithm, if properly implemented, should be independent of any programming. With years of experiencve in programming, we guarantee the optimality of the solutions obtained by our algorithms.

Efficiency plays a crucial role in determining the effectiveness of an optimization algorithm. In general, a more efficient algorithm can process data faster and use fewer computing resources. Time complexity and space complexity are two key factors affecting the efficiency of an optimization algorithm Having a deep understanding of these factors and analyzing the efficiency of different algorithms, we can make more informed decisions and select the best algorithm for your specific task.