Machine Learning Assisted Evolutionary Multi-objective Optimization

At a fundamental level, his research is centered around multi-and many-objective optimization, involving -development of evolutionary algorithms; performance enhancement of these algorithms through integration of machine learning techniques; termination criterion for these algorithms; and decision support based on objective and constrained reduction.At an applied level, his focus has been on demonstrating the utility of evolutionary computation and mathematical optimization on real world problems, including airline crew scheduling, engineering design, business-process, and multicriterion decision making.He is the lead author of a book titled "Machine Learning Assisted Evolutionary Multi and Many Objective Optimization", published by Springer, 2024.