The development combines classical optimization methods with machine learning and artificial intelligence technologies. It is based on greedy search algorithms and genetic methods that offer the most rational solutions by selecting and combining parameters. This approach allows the system to independently adapt to the changing conditions and requirements of a particular customer.
The created prototype helps transportation, trade and manufacturing companies create optimal routes and allocate resources. AI analyzes data and recommends the most efficient delivery options, reducing overall fuel and vehicle maintenance costs.
According to the university, the program has the capacity to process more than a thousand applications per day.
Source: Ferra
I am a professional journalist and content creator with extensive experience writing for news websites. I currently work as an author at Gadget Onus, where I specialize in covering hot news topics. My written pieces have been published on some of the biggest media outlets around the world, including The Guardian and BBC News.
