Many real-world problems such as industrial production planning 1,2, traffic signal control 3,4, military strategic decision-making 5,6 and energy management of hybrid electric vehicles 7 can be ...

Addressing the challenge of efficiently solving multi-objective optimization problems (MOP) and attaining satisfactory optimal solutions has always posed a formidable task. In this paper, based on the ...

Overview Quantum systems evaluate countless supply chain variables simultaneously, helping organizations solve complex ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

You make decisions every day. Some are big, and some are small. But even the small decisions involve a great deal of complexity. Let me show you what I mean. Take something you probably do regularly: ...