A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...
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Multi-agent reinforcement learning driving smart factory agility
At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
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Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...
Abstract: Simulation optimization is a rapidly growing research field, fueled by advances in computational technology. These advances have made it possible to solve complex stochastic optimization ...
Multi-Criteria Decision-Making (MCDM) encompasses a suite of mathematical and analytical tools designed to support complex decisions involving multiple, often conflicting criteria. At its core, MCDM ...
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