In the era of big data and artificial intelligence, a new approach has emerged for solving combinatorial optimization ...

Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...

From aerospace simulations to data analysis and robotics, MATLAB is a powerhouse for engineering students and professionals. With tools for modeling, optimization, and hardware integration, it bridges ...

Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...

For decades, the solution to harder problems has been ‘build a bigger computer’— but what if this is the wrong strategy altogether? This is because some problems defeat computers, not because they are ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

CAMBRIDGE, U.K. – A small Microsoft Research team had lofty goals when it set out four years ago to create an analog optical computer that would use light as a medium for solving complex problems.

Solving optimization problems is challenging for existing digital computers and even for future quantum hardware. The practical importance of diverse problems, from healthcare to financial ...

The authors work at the Policing Project at the N.Y.U. School of Law. The project works with communities and the police to promote public safety. See more of our coverage in your search ...

Palo Alto, California-based D-Wave Quantum Inc. claims to be the first company that sells computers that leverage quantum effects in their operation. The company recently demonstrated how its quantum ...