Browsing Faculty of Engineering & Applied Science by Subject "High-dimensional optimization"
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Toward enhancing metaheuristic optimization algorithms using center-based sampling strategies for solving single- and multi- objective large-scale problems
(2020-12-01)Over the last decade, metaheuristic algorithms have become well-established approaches utilized for solving complex real-world optimization problems. Most metaheuristic algorithms have used stochastic strategies in their ...