Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Plat…
The gig economy provides workers with the benefits of autonomy and flexibility but at the expense of work identity and coworker bonds. Among the many reasons why gig workers leave their platforms, …
Explainable Artificial Intelligence by Genetic Programming : A Survey
Explainable artificial intelligence (XAI) has received great interest in the recent decade, due to its importance in critical application domains, such as self-driving cars, law, and healthcare. Ge…
Knowledge Transfer Genetic Programming With Auxiliary Population for Solving …
The uncertain capacitated arc routing problem (UCARP) is an NP-hard combinatorial optimization problem with a wide range of applications in logistics domains. Genetic programming (GP) hyper-heurist…
Confidence-Based Ant Colony Optimization for Capacitated Electric Vehicle Rou…
The blossoming of electric vehicles gives rise to a new vehicle routing problem (VRP) called capacitated electric VRP. Since charging is not as convenient as refueling, both the service of customer…
SANet : A Slice-Aware Network for Pulmonary Nodule Detection
Lung cancer is the most common cause of cancer death worldwide. A timely diagnosis of the pulmonary nodules makes it possible to detect lung cancer in the early stage, and thoracic computed tomogra…
Genetic Programming With Knowledge Transfer and Guided Search for Uncertain C…
The uncertain capacitated arc routing problem has many real-world applications in logistics domains. Genetic programming (GP) is a promising approach to training routing policies to make real-time …
Fiber-Tip Gas Transducer Based on All-Optical Photoacoustic Spectroscopy
In this paper, a fiber-tip all-optical photoacoustic (PA) transducer is demonstrated. The transducer is integrated by a silicon cantilever, a single optical fiber and a silicon dioxide tube. The ex…
Genetic Programming With Niching for Uncertain Capacitated Arc Routing Problem
The uncertain capacitated arc routing problem is an important optimization problem with many real-world applications. Genetic programming is considered a promising hyper-heuristic technique to auto…
Unpaired Person Image Generation With Semantic Parsing Transformation
In this paper, we tackle the problem of pose-guided person image generation with unpaired data, which is a challenging problem due to non-rigid spatial deformation. Instead of learning a fixed mapp…
Surrogate-Assisted Evolutionary Multitask Genetic Programming for Dynamic Fle…
Dynamic flexible job shop scheduling (JSS) is an important combinatorial optimization problem with complex routing and sequencing decisions under dynamic environments. Genetic programming (GP), as …
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