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Ruhul Amin Sarker is a prominent figure in the fields of optimization and evolutionary computing. He has contributed significantly to the academic literature through his work on agent-based evolutionary search and optimization modeling. His research often focuses on practical applications of theoretical concepts, making complex methodologies accessible for real-world scenarios. Sarker's publications, including titles such as "Agent-Based Evolutionary Search" and "Optimization Modelling: A Practical Approach," reflect his commitment to advancing the understanding of optimization techniques.

Throughout his career, Sarker has influenced a number of scholars and practitioners in the discipline, particularly in areas related to project portfolio selection and scheduling. His insights into evolutionary and memetic computing have paved the way for innovative solutions in various sectors. As an educator and researcher, he continues to inspire new generations of students and researchers in the realm of computational intelligence and optimization.

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