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The Multi-Objective Distinct Candidates Optimization Approach

The Multi-Objective Distinct Candidates Optimization Approach. A novel view promoting better use of “true” multi-objective optimization methods in industry. Rasmus K. Ursem, PhD Optimization specialist Stuctural and Fluid Mechanics, R&amp;T Grundfos Management A/S.

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Research Objectives: Accelerate quantum chemistry (QC) simulations via machine-learning .

Materials Computation Center, University of Illinois Duane Johnson and Richard Martin, NSF DMR-03-25939 Accurate Quantum Chemistry via Machine-Learning &amp; Evolutionary Algorithms Duane D. Johnson (MatSE), David E. Goldberg (GE), Todd J. Martinez (Chem),

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196 views • 1 slides

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