We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
Abstract: In this article, we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization problems ...
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...
Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
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How DeepSeek’s new training method could disrupt advanced AI again
DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...
My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...
You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...
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 ...
Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...
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