In the past decade, AI's success has led to uncurbed enthusiasm and bold claims—even though users frequently experience errors that AI makes. An AI-powered digital assistant can misunderstand ...

Abstract: This paper contains a comparison between a Genetic Algorithm (GA) and a Non-dominated Sorting Genetic Algorithm II (NSGA-II) on the Portfolio Optimisation Problem, based on the Modern ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

Abstract: The genetic algorithm is one of the most commonly used metaheuristics due to its adaptability to various types of problems. However, its implementation can be challenging because of the ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...

The official opening of the Foster + Partners-designed Alibaba Shanghai Campus office building, rooted in the city's DNA of innovation and openness, redefines the traditional office environment. The ...

Tall buildings with irregular shapes and considerable heights are gaining popularity in creating the vertical cities around the world. They also considered one of the major energy consumers with ...