With quantum leaders pursuing distinct strategies across computing, networking, sensing & optimization, investors can get ...

Personalized cancer treatment requires precise scheduling of multiple therapeutic agents under biological constraints. Optimizing such regimens is especially challenging due to the nonlinear dynamics ...

This program implements a Simulated Annealing algorithm to find the consensus aligment from many sequences. The main idea is to simulate the cooling of a material system: the colder the system is, the ...

The software for the Supercon badge went down to the wire this year, with user-facing features being coded up as late as Thursday morning. This left “plenty of time” to flash the badges on Thursday ...

Abstract: Simulated Annealing (SA) algorithm is not effective with large optimization problems for its slow convergence. Hence, several parallel Simulated Annealing (pSA) methods have been proposed, ...

Abstract: A brief introduction is given to the actual mechanics of simulated annealing, and a simple example from an IC layout is used to illustrate how these ideas can be applied. The complexities ...

The goal of a combinatorial optimization problem is to find the best ordering of a set of discrete items. A classic combinatorial optimization challenge is the Traveling Salesman Problem (TSP). For ...

An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern ...

Department of Materials Physics, Graduate School of Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan Department of Materials Physics, Graduate School of Engineering, Nagoya ...