This is a preview. Log in through your library . Abstract This paper discusses the use of a Multi-Objective Genetic Algorithm to optimize a technology portfolio for a commercial transport. When ...

Abstract: In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these ...

PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch. PyGAD supports optimizing both single ...

Abstract: Underwater detection networks (UDN) are extensively employed in scenarios such as marine environmental monitoring and seabed resource exploration. In general, to achieve higher network ...

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 ...

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 ...