DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology von Liu, Xuhan, Ye, Kai, van Vlijmen, Herman W. T., Emmerich, Michael T. M., IJzerman, Adriaan P., van Westen, Gerard J. P.

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A tutorial on multiobjective optimization: fundamentals and evolutionary methods von Emmerich, Michael T. M., Deutz, André H.

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A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data von Kim, Juhuhn, Emmerich, Michael T. M., Voors, Robert, Ording, Barend, Lee, Jong-Seok

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A multiple classifier system identifies novel cannabinoid CB2 receptor ligands von Ruano-Ordás, David, Burggraaff, Lindsey, Liu, Rongfang, van der Horst, Cas, Heitman, Laura H., Emmerich, Michael T. M., Mendez, Jose R., Yevseyeva, Iryna, van Westen, Gerard J. P.

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Surrogate‐assisted multicriteria optimization: Complexities, prospective solutions, and business case von Allmendinger, Richard, Emmerich, Michael T. M., Hakanen, Jussi, Jin, Yaochu, Rigoni, Enrico

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Multi-Objective Evolutionary Design of Adenosine Receptor Ligands von van der Horst, Eelke, Marqués-Gallego, Patricia, Mulder-Krieger, Thea, van Veldhoven, Jacobus, Kruisselbrink, Johannes, Aleman, Alexander, Emmerich, Michael T. M, Brussee, Johannes, Bender, Andreas, IJzerman, Adriaan P

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A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization von van der Horst, Eelke, Peironcely, Julio E, Ijzerman, Adriaan P, Beukers, Margot W, Lane, Jonathan R, van Vlijmen, Herman W T, Emmerich, Michael T M, Okuno, Yasushi, Bender, Andreas

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Artificial intelligence in multi-objective drug design von Luukkonen, Sohvi, van den Maagdenberg, Helle W., Emmerich, Michael T.M., van Westen, Gerard J.P.

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Multiobjective sparse ensemble learning by means of evolutionary algorithms von Zhao, Jiaqi, Jiao, Licheng, Xia, Shixiong, Basto Fernandes, Vitor, Yevseyeva, Iryna, Zhou, Yong, T.M. Emmerich, Michael

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Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization von Boonstra, Sjonnie, van der Blom, Koen, Hofmeyer, Hèrm, Emmerich, Michael T.M.

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Improving the drug discovery process by using multiple classifier systems von Ruano-Ordás, David, Yevseyeva, Iryna, Fernandes, Vitor Basto, Méndez, José R., Emmerich, Michael T.M.

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Conceptual structural system layouts via design response grammars and evolutionary algorithms von Boonstra, Sjonnie, van der Blom, Koen, Hofmeyer, Hèrm, Emmerich, Michael T.M.

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Mixed Integer Evolution Strategies for Parameter Optimization von Li, Rui, Emmerich, Michael T.M., Eggermont, Jeroen, Bäck, Thomas, Schütz, M., Dijkstra, J., Reiber, J.H.C.

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Hypervolume-based expected improvement: Monotonicity properties and exact computation von Emmerich, Michael T. M., Deutz, Andre H., Klinkenberg, Jan Willem

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Mixed-Integer NK Landscapes von Li, Rui, Emmerich, Michael T. M., Eggermont, Jeroen, Bovenkamp, Ernst G. P., Bäck, Thomas, Dijkstra, Jouke, Reiber, Johan H. C.

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Sliding to the global optimum: How to benefit from non-global optima in multimodal multi-objective optimization von Grimme, Christian, Kerschke, Pascal, Emmerich, Michael T. M., Preuss, Mike, Deutz, André H., Trautmann, Heike

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Reducing complexity in many objective optimization using community detection von Maulana, Asep, Zhongzhou Jiang, Jing Liu, Back, Thomas, Emmerich, Michael T. M.

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Towards robustness optimization of complex networks based on redundancy backup von Xiaoke Zhang, Jun Wu, Cuiying Duan, Emmerich, Michael T. M., Back, Thomas

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A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation von Kuijl, Alexander v. d., Emmerich, Michael T. M., Li, Hui

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Efficient multi-criteria optimization on noisy machine learning problems von Koch, Patrick, Wagner, Tobias, Emmerich, Michael T.M., Bäck, Thomas, Konen, Wolfgang

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