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Abstract: Expensive constrained multi-objective optimization problems (ECMOPs) are prevalent in engineering practice and are characterized by extremely high evaluation costs for both objective and ...

Scientists have shared key learning opportunities from measures taken at a cold-smoked salmon producer linked to two listeriosis outbreaks. The study investigated contamination sources and mitigation ...

Mathematician Terence Tao reports that OpenAI's GPT-5.2 Pro has solved an Erdős problem "more or less autonomously," marking a notable achievement for AI in mathematical research. But Tao cautions ...

Abstract: The work deals with the NP-hard problem of scheduling tasks on two machines with the sum-cost criterion. In this problem, each task must be performed sequentially on the first and then on ...