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The document summarizes Souma Chowdhury's Master's thesis defense on developing a modified predator-prey algorithm to solve single- and multi-objective optimization problems. The predator-prey algorithm imitates interactions between predators and prey in nature. Chowdhury substantially modified the basic algorithm to make it robust and computationally inexpensive for handling optimization problems involving multiple objectives and design variables. The modified predator-prey algorithm was developed to produce well-distributed Pareto optimal solutions with fewer function evaluations compared to other evolutionary algorithms.


































































