Our genetic heritage is not a blueprint or an algorithm, as many biologists have imagined, but something else entirely.

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach it. Researchers used the method to simulate extraordinarily complex quantum ...

Being a core problem in industrial production management, production scheduling has gradually evolved from the traditional Job Shop Scheduling Problem (JSSP) to the Flexible Job Shop Scheduling ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

In experiments, researchers showed that the disease-spreading insects couldn’t resist the sweet smell of a fungus that infected and killed them. By Jason P. Dinh Watch your back, DEET. There’s a new ...

Abstract: A flexible job-shop scheduling problem with lot streaming (FJSP-LS) is an extension of flexible job-shop scheduling problems (FJSPs). In it, jobs are allowed to be split into multiple ...

Abstract: Recent studies have been conducted actively on scheduling in a parcel delivery system using a truck and drones to deliver parcels more effectively. In logistics, it is necessary to provide ...

A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...

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 ...

Aircraft flat-tail assembly is a typical discrete assembly, and its assembly process has the following characteristics: (1) multiple assembly processes, the aircraft flat-tail passes through each ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

Genetic Algorithms (GAs) are a class of optimization algorithms inspired by the process of natural selection and evolution. They are used to find optimal solutions to complex problems by mimicking the ...