TOP > News > New Multi-Policy-Based Annealer for Solving Real-World Combinatorial Optimization Problems: Prof. Masato Motomura
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A fully-connected annealer extendable to a multi-chip system and featuring a multi-policy mechanism has been designed by Tokyo Tech researchers to solve a broad class of combinatorial optimization (CO) problems relevant to real-world scenarios quickly and efficiently. Named Amorphica, the annealer has the ability to fine-tune parameters according to a specific target CO problem and has potential applications in logistics, finance, machine learning, and so on.
Prof. Masato Motomura (Applied Electronics Research Core)
http://www.artic.iir.titech.ac.jp/