Research focuses on artificial intelligence, metaheuristic optimization algorithms, statistical analysis of optimization methods, and intelligent control systems. The research encompasses the development, evaluation, comparison, and practical application of optimization algorithms to address complex computational and engineering problems.
Research Areas
Metaheuristic Optimization
Research on the development, evaluation, and comparative analysis of metaheuristic optimization algorithms, including benchmark optimization, combinatorial optimization, constrained optimization, and the Travelling Salesman Problem
Statistical Analysis of Optimization Algorithms
Research on the use of statistical methods to evaluate, compare, and interpret the performance of optimization algorithms. This includes performance assessment, statistical comparison, trend analysis, and the selection of appropriate statistical techniques for experimental optimization studies
Tree Physiology Optimization
Research on Tree Physiology Optimization and its application to optimization and engineering problems, including controller parameter tuning and constrained optimization
Intelligent Control and Optimization
Research on the application of optimization algorithms to control-system design and parameter tuning, including PID and PI controllers, single-input single-output (SISO) systems, and multiple-input multiple-output (MIMO) systems
Artificial Intelligence and Intelligent Systems
Research involving artificial intelligence, intelligent systems, and computational intelligence, including neuro-fuzzy modelling and the application of optimization algorithms to intelligent systems
Research Approach
The research approach combines algorithm development, computational experimentation, statistical analysis, and practical application. Emphasis is placed on systematic evaluation, meaningful comparison of alternative methods, and the use of appropriate statistical techniques to support reliable conclusions from optimization and artificial intelligence studies.