Researchers develop new amoeba-inspired computing model for complex optimization problems

Scientists at Waseda University have developed a new, simpler amoeba-inspired computing model that offers a promising avenue for solving complex mathematical problems, such as combinatorial optimization. This model enables physical implementation across diverse materials and physical phenomena without compromising optimization performance. The research explores how amoebae can be used to develop new, efficient computing paradigms, with potential candidates for physical implementation including photonic circuits and spintronic devices.