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 ...

Abstract: This paper discusses the problem of business process optimization within a multi-objective evolutionary framework. Business process optimization (BPO) is considered as the problem of ...

Abstract: Evolutionary computation is widely applied in multi-objective optimization due to its excellent global search capability and the characteristic of having multiple solutions. Among them, the ...

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

Designed for courses on Evolutionary Multi-objective Optimization and Evolutionary Algorithms. This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, ...

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...

Maritime transportation is increasingly being subjected to pressure to balance economic efficiency with environmental sustainability under regulatory frameworks such as global trade demands and the ...