Browsing Faculty of Engineering & Applied Science by Subject "Large-scale optimization"
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Proposing effective coordinate search methods for solving large-scale expensive black-box optimization problems
(2020-08-01)In engineering and science, optimization plays a vital role in many real-world applications. In this work, several novel optimization algorithms based on Coordinate Search (CS) algorithm are proposed. CS is a gradient-free ... -
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 ...