A multiobjective Markov chain Monte Carlo approach for history matching and uncertainty quantification

A fast and elitist multiobjective genetic algorithm: NSGA-II

Kalyanmoy Deb, Amrit Pratap, Sakshi Agarwal et al. · IEEE Transactions on Evolutionary Computation · 2002 · 47.8K citations

Natural Sciences, Evolutionary Biology, Algorithms +10

Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces

Rainer Storn, Kenneth V. Price · Journal of Global Optimization · 1997 · 28.7K citations

Natural Sciences, Mathematics, Optimization +12

Monte Carlo sampling methods using Markov chains and their applications

W. Keith Hastings · Biometrika · 1970 · 15.2K citations

Natural Sciences, Mathematics, Probability Theory +16

Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

Eckart Zitzler, Lothar Thiele · IEEE Transactions on Evolutionary Computation · 1999 · 8.6K citations

Natural Sciences, Mathematics, Diversification Strategy +16

The Monte Carlo Method

N. Metropolis, Stanislaw M. Ulam · Journal of the American Statistical Association · 1949 · 6.1K citations

Natural Sciences, Mathematics, Physics +12