Graph Algorithms: Computational procedures designed to solve problems related to graph structures, encompassing processes such as traversal, shortest path determination, and network flow analysis.

International Journal of Cognitive Computing in Engineering (2023). [2] A distribution evolutionary algorithm for the graph coloring problem. Swarm and Evolutionary Computation (2023).

While quantum computing provides new capabilities to AI, the relationship is reciprocal. The study explains how AI helps ...

Refining with colors Mathematicians have developed various strategies to compare graphs. Since the 1970s, algorithms have been able to test graph isomorphism, but in exponential time.

Shenzhen, May 14, 2025 (GLOBE NEWSWIRE) -- MicroAlgo Inc. Announces Research on Quantum Information Recursive Optimization (QIRO) Algorithm, for Combinatorial Optimization Problems to Expand and ...

Faster optimization of computer algorithms New general-purpose optimization algorithm promises order-of-magnitude speedups on some problems Date: October 23, 2015 Source: Massachusetts Institute ...

They dubbed their algorithm “quantum approximate optimization algorithm”, or simply QAOA. “It was the first time that anyone had given a quantum algorithm that gave an approximation better than a ...

It’s often assumed that Dijkstra’s algorithm, or the A* graph traversal algorithm is used, but the reality is that although these pure graph theory algorithms are decidedly influential, they ...