• Constrained and unconstrained deterministic linear and non-linear programming methods, multi-objective optimization
• Genetic algorithm (GA), simulated annealing (SA), Particle swarm optimization (PSO), Ant colony optimization (ACO), Artificial bee colony (ABC), Harmony search (HS), Hybrid methods of optimization, etc.
• Teaching-learning-based optimization (TLBO) algorithm (developed by the Coordinator and published in reputed international journals of Elsevier, Springer, Taylor and Francis, ASME, IEEE Transactions, etc.)
• Jaya algorithm (developed by the Coordinator and recently published)
• Neural network based optimization, Fuzzy concept in optimization
• Graph theory and matrix approach
• Multi-attribute decision making methods such as AHP, TOPSIS, PROMETHEE,
• ELECTRE, DEA, SAW, WPM, MOORA, EVAMIX, ORESTE, etc.
• Various interdisciplinary real world case studies
• Guidelines on how to publish research papers in reputed international journals

• Engineering college and polytechnic teachers and research scholars.
• Engineering faculty members and research scholars of civil, mechanical, electrical, electronics, computer, applied mechanics, and chemical engineering disciplines can attend the program.
• Faculty members with science and mathematics background also can attend.
• Industry personnel can also attend this training program.

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