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

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

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

A new study reports a broker-based SLA negotiation framework using Hybrid Leader-Based Optimization to select cloud service ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

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

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

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 ...

Imagine designing a better battery, discovering a new medicine, or developing a material that ...