Metaheuristic algorithms are extensively recognized as effective approaches for solving high- dimensional optimization problems. These algorithms provide effective tools with important …
M Chen, Y Tan - Swarm and Evolutionary Computation, 2023 - Elsevier
Computationally efficient algorithms for large-scale black-box optimization have become increasingly important in recent years due to the growing complexity of engineering and …
Differential evolution is an effective and practical approach that is widely applied for solving global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
In recent years, the research community has witnessed an explosion of literature dealing with the mimicking of behavioral patterns and social phenomena observed in nature towards …
Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a growing research topic with many competitive bio-inspired algorithms being proposed every …
MN Omidvar, M Yang, Y Mei, X Li… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Identification of variable interaction is essential for an efficient implementation of a divide- and-conquer algorithm for large-scale black-box optimization. In this paper, we propose an …
In pedagogy, teachers usually separate mixed-level students into different levels, treat them differently and teach them in accordance with their cognitive and learning abilities. Inspired …
MN Omidvar, X Li, X Yao - IEEE Transactions on Evolutionary …, 2021 - ieeexplore.ieee.org
This article is the second part of a two-part survey series on large-scale global optimization. The first part covered two major algorithmic approaches to large-scale optimization, namely …
ZJ Wang, JR Jian, ZH Zhan, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Large-scale optimization problems (LSOPs) are challenging because the algorithm is difficult in balancing too many dimensions and in escaping from trapped bottleneck …