A parallel hybrid algorithm combining sine cosine and tabu search improves mobile robot path planning performance by up to ...

A modified ant colony optimization framework reduced average active network losses and cut convergence iterations by half in ...

Optimization algorithms, which try to find the minimum values of mathematical functions, are everywhere in engineering. Among other things, they’re used to evaluate design tradeoffs, to assess control ...

Prabhu Krishnaswamy bridges enterprise data engineering experience and academic research through his work on co-optimising algorithms and semiconductor architectures for efficient AI acceleration.

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

Researchers test machine learning and genetic algorithms to improve solutions to the quadratic multidimensional knapsack ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

OpenAI claims to disprove the Exponential Time Hypothesis with a new algorithm showing subexponential performance for the ...

I was halfway through a master’s in Computer Science when my vision changed. I was working as a data scientist during my summer off from school, and I had friends who said things like “I’m at a local ...