ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
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 Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou, Guangdong, China 2 Glenn Department of Civil Engineering, Clemson University, Clemson, SC, United States Modern seismic codes ...
Abstract: Multiobjective combinatorial optimization (MOCO) problems have a wide range of applications in the real world. Recently, learning-based methods have achieved good results in solving MOCO ...
Why do some crowds move in an orderly fashion while others devolve into a chaotic jumble? New research led by an MIT mathematician may finally crack the tricky crowd problem. When you purchase through ...
Abstract: This paper introduces MOGCL (Multi-Objective Graph Convolutional Long Short-Term Memory with Attention), a novel model that combines dynamic graph Convolutional Long Short-Term Memory ...
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