Implementation of the algorithm proposed in the paper Multi-Objective Assortment Optimization: Profit, Risk, Customer Utility, and Beyond, and related numerical experiments. All algorithms in this ...

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, ...

Abstract: This paper proposes a multi-objective optimization method based on electromagnetic-structural coupling for permanent magnet synchronous motor. The proposed method is aimed at simultaneously ...

This repository contains the implementation of a novel multi-agent reinforcement learning approach for molecular optimization and drug discovery, combining genetic algorithms with deep reinforcement ...

Journal of Coastal Research, SPECIAL ISSUE NO. 115. Advances in Water Resources, Environmental Protection, and Sustainable Development (SUMMER 2020), pp. 116-119 (4 pages) The traditional construction ...

Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 (8 pages) Abstract: Land use planning seeks to divide land, the most valuable resource in the hands of ...

Abstract: Boost converters are widely used in photovoltaic systems for maximum power point tracking (MPPT). Their performance, however, depends significantly on the environmental conditions in which ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...