Abstract: Recently, neural combinatorial optimization (NCO) methods have been prevailing for solving multiobjective combinatorial optimization problems (MOCOPs). Most NCO methods are based on the ...
Agentic AI is the next evolution beyond generative AI, enabling engineers to employ autonomous systems that iterate, test, and refine solutions.
Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Join the conversation, share your thoughts and get expert advice ...
This article is part of a package on the future of quantum computing. Read about the quest to develop these machines here and see an illustrated field guide to qubits here. The 21st-century fervor ...
If you've ever stared at a calculus word problem and had no idea where to start — you're not alone. Optimization problems trip up students at every level, from AP Calculus AB to first-year university ...
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 ...
Combinatorial optimization problems (COPs) encompass a class of problems that are aimed at finding optimal or near-optimal solutions within a finite solution space and that are prevalent in both ...
Real-world optimization problems, such as global optimization, cleaner production system, and complex design challenges are inherently complex, involving many variables and constraints. These factors ...
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.
A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...
Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, performance, and real-world applicability by introducing FlexQAOA, a hybrid ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results