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In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

Abstract: To address the challenge of collaborative optimization between surface shape accuracy and stiffness of large aperture space mirrors for optical remote sensors, a multiobjective optimization ...

Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...

Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...

Implementation of hypernetwork augmented Actor-Critic in multi-objective reinforcement learning for MsC Thesis: "Generalizing Pareto optimal policies in multi-objective reinforcement learning" ...