Michael Emmerich

141 papers A 10B 11C 18Misc 4Journal 47Unranked 37

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Alignment Method and a Dissimilarity Measure for 3D Building Spatial Designs. IEEE Access Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Hèrm Hofmeyer, Tessa Ezendam, Thomas Bäck
2025	—	`conf`	Correlated Geometric Mutations for Integer Evolution Strategies. GECCO Companion Ofer M. Shir, Michael Emmerich
2025	A	`conf`	Foundations of Correlated Mutations for Integer Programming. FOGA Ofer M. Shir, Michael Emmerich
2025	J	`jnl`	Minimum Riesz s-Energy Subset Selection in Ordered Point Sets via Dynamic Programming. CoRR Michael Emmerich
2025	—	`conf`	Multiobjective Optimization Approaches for Room Allocation in University Course Timetabling✩. CENTERIS/ProjMAN/HCist Bruno Antunes-Batista, Soumen Atta, Vitor Basto-Fernandes, Iryna Yevseyeva, Michael Emmerich
2025	—	`ed.`	Proceedings of the Modern Machine Learning Technologies Workshop, MoMLeT-2025, Lviv, Ukraine, June 14-15, 2025. MoMLeT Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska
2025	—	`conf`	Towards complexity reduction of large-scale epidemic simulation in two-scale networks. MoMLeT Yulian Kuryliak, Michael Emmerich
2024	C	`conf`	A Modified Preference-Based Hypervolume Indicator for Interactive Evolutionary Multiobjective Optimization Methods. IJCCI Maomao Liang, Babooshka Shavazipour, Bhupinder Singh Saini, Michael Emmerich, Kaisa Miettinen
2024	J	`jnl`	A Performance Indicator for Interactive Evolutionary Multiobjective Optimization Methods. IEEE Trans. Evol. Comput. Pouya Aghaei Pour, Sunith Bandaru, Bekir Afsar, Michael Emmerich, Kaisa Miettinen
2024	J	`jnl`	Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows. Appl. Artif. Intell. Burak Gülmez, Michael Emmerich, Yingjie Fan
2024	—	`ed.`	Proceedings of the Modern Machine Learning Technologies Workshop (MoMLeT 2024), Lviv, Ukraine, May 31 - June 1, 2024. MoMLeT Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska
2023	J	`jnl`	Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning. Int. J. Inf. Technol. Decis. Mak. Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2023	J	`jnl`	Dominance-based variable analysis for large-scale multi-objective problems. Nat. Comput. Dani Irawan, Boris Naujoks, Thomas Bäck, Michael Emmerich
2023	C	`ed.`	Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings EMO Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva
2023	—	`ch.`	Introduction to Many-Criteria Optimization and Decision Analysis. Many-Criteria Optimization and Decision Analysis Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse
2023	—	`ch.`	Many-Criteria Dominance Relations. Many-Criteria Optimization and Decision Analysis André H. Deutz, Michael Emmerich, Yali Wang
2023	—	`ch.`	Many-Criteria Optimisation and Decision Analysis Ontology and Knowledge Management. Many-Criteria Optimization and Decision Analysis Vitor Basto-Fernandes, Diana Salvador, Iryna Yevseyeva, Michael Emmerich
2023	—	`book`	Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives Many-Criteria Optimization and Decision Analysis Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse
2023	—	`conf`	On the Behavior of the Mixed-Integer SMS-EMOA on Box-Constrained Quadratic Bi-Objective Models. GECCO Companion Ofer M. Shir, Michael Emmerich
2023	J	`jnl`	Preface. Nat. Comput. Michael Emmerich, André H. Deutz, Iryna Yevseyeva
2023	—	`ed.`	Proceedings of the Modern Machine Learning Technologies and Data Science Workshop (MoMLeT&DS 2023), Lviv, Ukraine, June 3, 2023. MoMLeT+DS Michael Emmerich, Victoria Vysotska, Volodymyr Lytvynenko
2023	C	`conf`	Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method. EMO Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2023	C	`conf`	The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. EMO André H. Deutz, Michael Emmerich, Hao Wang
2023	C	`conf`	The Prism-Net Search Space Representation for Multi-objective Building Spatial Design. EMO Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer
2022	J	`jnl`	Efficient Stochastic Simulation of Network Topology Effects on the Peak Number of Infections in Epidemic Outbreaks. CoRR Yulian Kuryliak, Michael Emmerich, Dmytro Dosyn
2022	—	`ed.`	Modern Machine Learning Technologies and Data Science Workshop MoMLeT&DS 2022, Leiden-Lviv, The Netherlands-Ukraine, November 25-26, 2022. MoMLeT+DS Michael Emmerich, Victoria Vysotska
2022	J	`jnl`	Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications. CoRR Patrick Echtenbruck, Martina Echtenbruck, Kees Joost Batenburg, Thomas Bäck, Boris Naujoks, Michael Emmerich
2022	J	`jnl`	Optimistic NAUTILUS navigator for multiobjective optimization with costly function evaluations. J. Glob. Optim. Bhupinder Singh Saini, Michael Emmerich, Atanu Mazumdar, Bekir Afsar, Babooshka Shavazipour, Kaisa Miettinen
2022	J	`jnl`	Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. CoRR Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich
2022	—	`conf`	Simulation of the Effects of Targeted Immunization on the Peak Number of Infections in Complex Networks. MoMLeT+DS Michael Emmerich, Yulian Kuryliak, Dmytro Dosyn
2021	J	`jnl`	Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization. CoRR Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021	J	`jnl`	Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization. Swarm Evol. Comput. Yali Wang, Steffen Limmer, Markus Olhofer, Michael Emmerich, Thomas Bäck
2021	—	`ed.`	Modern Machine Learning Technologies and Data Science Workshop. Proc. 3rd International Workshop (MoMLeT&DS 2021). Volume I: Main Conference, Lviv-Shatsk, Ukraine, June 5-6, 2021. MoMLeT+DS Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska, Vitor Basto-Fernandes, Volodymyr Lytvynenko
2021	—	`conf`	On the Effect of Complex Network Topology in Managing Epidemic Outbreaks. MoMLeT+DS Yulian Kuryliak, Michael Emmerich, Dmytro Dosyn
2021	J	`jnl`	On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich
2021	B	`conf`	Optimally Weighted Ensembles in Model-Based Regression for Drug Discovery. CEC Patrick Echtenbruck, Michael Emmerich, Martina Echtenbruck, Boris Naujoks
2021	J	`jnl`	Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization. Comput. Oper. Res. Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
2021	J	`jnl`	Preface to the special issue dedicated to the 14th international workshop on global optimization held in Leiden, The Netherlands, September 18-21, 2018. J. Glob. Optim. André H. Deutz, Michael Emmerich, Yaroslav D. Sergeyev, Iryna Yevseyeva
2020	J	`jnl`	A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	—	`conf`	A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling. SSCI Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	J	`jnl`	AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	J	`jnl`	Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play? CoRR Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2020	J	`jnl`	Cluster-based Kriging approximation algorithms for complexity reduction. Appl. Intell. Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas Bäck
2020	B	`conf`	Cooperative-Coevolution-CMA-ES with Two-Stage Grouping. CEC Dani Irawan, Boris Naujoks, Michael Emmerich
2020	—	`conf`	Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation. SSCI Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2020	—	`conf`	Forecasting Temperatures of a Synchronous Motor with Permanent Magnets Using Machine Learning. MoMLeT+DS Oleh Soprun, Myroslava Bublyk, Yurii Matseliukh, Vasyl Andrunyk, Lyubomyr Chyrun, Ivan Dyyak, Anatoly Yakovlev, Michael Emmerich, Oleksandr Osolinskyi, Anatoliy Sachenko
2020	—	`conf`	Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones. PPSN (2) Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2020	—	`conf`	Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search. GECCO Companion Yali Wang, Bas van Stein, Thomas Bäck, Michael Emmerich
2020	J	`jnl`	Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value. CoRR Michael Emmerich, Joost Nibbeling, Marios Kefalas, Aske Plaat
2020	J	`jnl`	On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	—	`conf`	On Sharing Information Between Sub-populations in MOEA/S. PPSN (2) Lucas de Almeida Ribeiro, Michael Emmerich, Anderson da Silva Soares, Telma Woerle de Lima
2020	—	`ed.`	Proceedings of the 2nd International Workshop on Modern Machine Learning Technologies and Data Science (MoMLeT+DS 2020). Volume I: Main Conference, Lviv-Shatsk, Ukraine, June 2-3, 2020. MoMLeT+DS Michael Emmerich, Vasyl Lytvyn, Victoria Vysotska, Vitor Basto-Fernandes, Volodymyr Lytvynenko
2020	J	`jnl`	Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method. CoRR Divyam Aggarwal, Dhish Kumar Saxena, Thomas Bäck, Michael Emmerich
2020	Misc	`conf`	Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning. SYNASC Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
2020	J	`jnl`	Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning. CoRR Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat
2020	J	`jnl`	The Set-Based Hypervolume Newton Method for Bi-Objective Optimization. IEEE Trans. Cybern. Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich
2020	—	`conf`	Trees' Condition Data Analysis Based on Drone Monitoring and Machine Learning Technology. MoMLeT+DS Alina Dmytriv, Victoria Vysotska, Petro Kravets, Ihor Karpov, Michael Emmerich
2019	C	`conf`	A Multiobjective Approach to Classification in Drug Discovery. CIBCB Patrick Echtenbruck, Michael Emmerich, Boris Naujoks
2019	A	`conf`	A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. GECCO Kaifeng Yang, Pramudita Satria Palar, Michael Emmerich, Koji Shimoyama, Thomas Bäck
2019	—	`conf`	A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. GECCO (Companion) Marios Kefalas, Steffen Limmer, Asteris Apostolidis, Markus Olhofer, Michael Emmerich, Thomas Bäck
2019	—	`conf`	Alternative Loss Functions in AlphaZero-like Self-play. SSCI Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2019	C	`conf`	Analysing Optimisation Data for Multicriteria Building Spatial Design. EMO Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael Emmerich
2019	C	`conf`	CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm. EMO Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello, Michael Emmerich
2019	—	`conf`	Development of Information System for Textual Content Categorizing Based on Ontology. COLINS Victoria Vysotska, Vasyl Lytvyn, Yevhen Burov, Pavlo Berezin, Michael Emmerich, Vitor Basto-Fernandes
2019	C	`conf`	Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA. EMO Yali Wang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	J	`jnl`	Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms. CoRR Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	J	`jnl`	Efficient computation of expected hypervolume improvement using box decomposition algorithms. J. Glob. Optim. Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	J	`jnl`	Hyper-Parameter Sweep on AlphaZero General. CoRR Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat
2019	J	`jnl`	Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies. Evol. Comput. Hao Wang, Michael Emmerich, Thomas Bäck
2019	—	`ed.`	Modern Machine Learning Technologies, Workshop Proceedings of the 8th International Conference on "Mathematics. Information Technologies. Education", MoMLeT&DS-2019, Shatsk, Ukraine, June 2-4, 2019. MoMLeT Michael Emmerich, Vasyl Lytvyn, Iryna Yevseyeva, Vitor Basto-Fernandes, Dmytro Dosyn, Victoria Vysotska
2019	J	`jnl`	Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient. Swarm Evol. Comput. Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019	—	`conf`	On the potential of evolution strategies for neural network weight optimization. GECCO (Companion) Hao Wang, Thomas Bäck, Aske Plaat, Michael Emmerich, Mike Preuss
2019	A	`conf`	Statistical learning in soil sampling design aided by pareto optimization. GECCO Assaf Israeli, Michael Emmerich, Michael Iggy Litaor, Ofer M. Shir
2019	C	`conf`	The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization. EMO André H. Deutz, Michael Emmerich, Kaifeng Yang
2018	—	`conf`	Assessing the Potential of Classical Q-learning in General Game Playing. BNCAI Hui Wang, Michael Emmerich, Aske Plaat
2018	J	`jnl`	Assessing the Potential of Classical Q-learning in General Game Playing. CoRR Hui Wang, Michael Emmerich, Aske Plaat
2018	—	`conf`	Content Formation Method in the Web Systems. COLINS Vasyl Lytvyn, Dmytro Dosyn, Michael Emmerich, Iryna Yevseyeva
2018	B	`conf`	Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization. CEC Hao Wang, Michael Emmerich, Thomas Bäck
2018	—	`ed.`	EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI, EVOLVE 2015, Iasi, Romania, 18-24 June 2015 EVOLVE Alexandru-Adrian Tantar, Emilia Tantar, Michael Emmerich, Pierrick Legrand, Lenuta Alboaie, Henri Luchian
2018	—	`ch.`	Evolution Strategies. Handbook of Heuristics Michael Emmerich, Ofer M. Shir, Hao Wang
2018	—	`conf`	Integrating region preferences in multiobjective evolutionary algorithms based on decomposition. ICACI Longmei Li, Hao Chen, Jun Li, Ning Jing, Michael Emmerich
2018	Misc	`conf`	Method for Determining Linguometric Coefficient Dynamics of Ukrainian Text Content Authorship. CSIT Victoria Vysotska, Vitor Basto-Fernandes, Vasyl Lytvyn, Michael Emmerich, Mariya Hrendus
2018	J	`jnl`	Monte Carlo Q-learning for General Game Playing. CoRR Hui Wang, Michael Emmerich, Aske Plaat
2018	A	`conf`	Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. GECCO Pramudita Satria Palar, Kaifeng Yang, Koji Shimoyama, Michael Emmerich, Thomas Bäck
2018	J	`jnl`	Multiobjective evolutionary algorithms based on target region preferences. Swarm Evol. Comput. Longmei Li, Yali Wang, Heike Trautmann, Ning Jing, Michael Emmerich
2018	—	`conf`	On Large-Scale Airline Crew Pairing Generation. SSCI Divyam Aggarwal, Dhish Kumar Saxena, Michael Emmerich, Saaju Paulose
2018	J	`jnl`	Preference-Based Evolutionary Many-Objective Optimization for Agile Satellite Mission Planning. IEEE Access Longmei Li, Hao Chen, Jun Li, Ning Jing, Michael Emmerich
2018	—	`conf`	Preference-based evolutionary algorithms for many-objective mission planning of agile earth observation satellites. GECCO (Companion) Longmei Li, Hao Chen, Jing Wu, Jun Li, Ning Jing, Michael Emmerich
2018	Misc	`conf`	The Virtual Library System Design and Development. CSIT Bohdan Rusyn, Vasyl Lytvyn, Victoria Vysotska, Michael Emmerich, Liubomyr Pohreliuk
2018	—	`conf`	Web Content Support Method in Electronic Business Systems. COLINS Victoria Vysotska, Vitor Basto-Fernandes, Michael Emmerich
2017	B	`conf`	A new acquisition function for Bayesian optimization based on the moment-generating function. SMC Hao Wang, Bas van Stein, Michael Emmerich, Thomas Bäck
2017	C	`conf`	Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. EMO Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael Emmerich
2017	C	`conf`	Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. EMO Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca
2017	J	`jnl`	Dynamic vehicle routing with time windows in theory and practice. Nat. Comput. Zhiwei Yang, Jan-Paul van Osta, Barry D. Van Veen, Rick van Krevelen, Richard van Klaveren, Andries Stam, Joost N. Kok, Thomas Bäck, Michael Emmerich
2017	C	`conf`	Hypervolume Indicator Gradient Ascent Multi-objective Optimization. EMO Hao Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2017	—	`conf`	Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis. IWINAC (1) Lai-Yee Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Joost N. Kok, Michael Emmerich
2017	B	`conf`	Preference incorporation to solve multi-objective mission planning of agile earth observation satellites. CEC Longmei Li, Feng Yao, Ning Jing, Michael Emmerich
2017	J	`jnl`	Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. Appl. Soft Comput. Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2016	—	`ch.`	A Multicriteria Generalization of Bayesian Global Optimization. Advances in Stochastic and Deterministic Global Optimization Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca
2016	—	`conf`	Modularities maximization in multiplex network analysis using Many-Objective Optimization. SSCI Asep Maulana, Valerio Gemmetto, Diego Garlaschelli, Iryna Yevseyeva, Michael Emmerich
2016	J	`jnl`	Multi-objective inventory routing with uncertain demand using population-based metaheuristics. Integr. Comput. Aided Eng. Zhiwei Yang, Michael Emmerich, Thomas Bäck, Joost N. Kok
2016	—	`conf`	Preference-based multiobjective optimization using truncated expected hypervolume improvement. ICNC-FSKD Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich
2016	—	`conf`	SMS-EMOA with multiple dynamic reference points. ICNC-FSKD Zhiwei Yang, Hao Wang, Kaifeng Yang, Thomas Bäck, Michael Emmerich
2016	A	`conf`	Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. PPSN Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich
2015	B	`conf`	Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities. CEC Zhiwei Yang, Michael Emmerich, Thomas Bäck
2015	J	`jnl`	Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance. IEEE Trans. Evol. Comput. Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2015	B	`conf`	Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. CEC Kaifeng Yang, Daniel Gaida, Thomas Bäck, Michael Emmerich
2015	—	`conf`	Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. IWINAC (2) Zhiwei Yang, Michael Emmerich, Thomas Bäck, Joost N. Kok
2015	B	`conf`	Optimally Weighted Cluster Kriging for Big Data Regression. IDA Bas van Stein, Hao Wang, Wojtek Kowalczyk, Thomas Bäck, Michael Emmerich
2015	—	`conf`	Selecting Optimal Subset of Security Controls. CENTERIS/ProjMAN/HCist Iryna Yevseyeva, Vitor Basto-Fernandes, Michael Emmerich, Aad van Moorsel
2015	J	`jnl`	Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. CoRR Samineh Bagheri, Wolfgang Konen, Michael Emmerich, Thomas Bäck
2015	B	`conf`	User-derived mutation in highly constrained Truck Loading Optimization. CEC Joost Leuven, Michael Emmerich, Edgar Reehuis, Thomas Bäck
2014	Misc	`conf`	Mirrored orthogonal sampling with pairwise selection in evolution strategies. SAC Hao Wang, Michael Emmerich, Thomas Bäck
2013	C	`conf`	A Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets. EMO Martin Zaefferer, Thomas Bartz-Beielstein, Boris Naujoks, Tobias Wagner, Michael Emmerich
2013	C	`conf`	A Theoretical Analysis of Curvature Based Preference Models. EMO Pradyumn Kumar Shukla, Michael Emmerich, André H. Deutz
2013	—	`conf`	Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows. IWINAC (2) Barry D. Van Veen, Michael Emmerich, Zhiwei Yang, Thomas Bäck, Joost N. Kok
2013	C	`conf`	Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation. EMO Michael Emmerich, André H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla
2013	J	`jnl`	Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance CoRR Pu Wang, Michael Emmerich, Rui Li, Ke Tang, Thomas Bäck, Xin Yao
2013	A	`conf`	Novelty and interestingness measures for design-space exploration. GECCO Edgar Reehuis, Markus Olhofer, Michael Emmerich, Bernhard Sendhoff, Thomas Bäck
2012	—	`conf`	Time Complexity and Zeros of the Hypervolume Indicator Gradient Field. EVOLVE (III) Michael Emmerich, André H. Deutz
2011	A	`conf`	Using the uncertainty handling CMA-ES for finding robust optima. GECCO Johannes W. Kruisselbrink, Edgar Reehuis, André H. Deutz, Thomas Bäck, Michael Emmerich
2010	J	`jnl`	Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES. Evol. Comput. Ofer M. Shir, Michael Emmerich, Thomas Bäck
2010	—	`conf`	An Archive Maintenance Scheme for Finding Robust Solutions. PPSN (1) Johannes W. Kruisselbrink, Michael Emmerich, Thomas Bäck
2010	—	`conf`	Exploiting Overlap When Searching for Robust Optima. PPSN (1) Johannes W. Kruisselbrink, Michael Emmerich, André H. Deutz, Thomas Bäck
2010	—	`conf`	Getting lost or getting trapped: on the effect of moves toincomparable points in multiobjective hillclimbing. GECCO (Companion) Michael Emmerich, André H. Deutz, Rui Li, Johannes W. Kruisselbrink
2010	—	`conf`	On Expected-Improvement Criteria for Model-based Multi-objective Optimization. PPSN (1) Tobias Wagner, Michael Emmerich, André H. Deutz, Wolfgang Ponweiser
2009	J	`jnl`	Chemogenomics: Looking at biology through the lens of chemistry. Stat. Anal. Data Min. Munikumar R. Doddareddy, Gerard J. P. van Westen, Eelke van der Horst, Julio E. Peironcely, Frans Corthals, Adriaan P. IJzerman, Michael Emmerich, Jeremy L. Jenkins, Andreas Bender
2008	J	`jnl`	Engineered versus standard evolutionary algorithms: A case study in batch scheduling with recourse. Comput. Chem. Eng. Guido Sand, Jochen Till, Thomas Tometzki, Maren Urselmann, Sebastian Engell, Michael Emmerich
2008	J	`jnl`	Evolutionary algorithms for real world applications [Application Notes]. IEEE Comput. Intell. Mag. Thomas Bäck, Michael Emmerich, Ofer M. Shir
2008	J	`jnl`	Evolutionäre Algorithmen zur Echtzeitoptimierung von Produktionsplänen für Chargenprozesse (Evolutionary Algorithms for the Online Optimization of Batch Production Schedules). Autom. Guido Sand, Jochen Till, Thomas Tometzki, Maren Urselmann, Michael Emmerich, Sebastian Engell
2007	B	`conf`	Self-Adaptive Niching CMA-ES with Mahalanobis Metric. IEEE Congress on Evolutionary Computation Ofer M. Shir, Michael Emmerich, Thomas Bäck
2007	B	`conf`	The application of evolutionary multi-criteria optimization to dynamic molecular alignment. IEEE Congress on Evolutionary Computation Ofer M. Shir, Michael Emmerich, Thomas Bäck, Marc J. J. Vrakking
2006	—	`conf`	Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis. EvoWorkshops Rui Li, Michael Emmerich, Ernst G. P. Bovenkamp, Jeroen Eggermont, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	A	`conf`	Mixed-integer optimization of coronary vessel image analysis using evolution strategies. GECCO Rui Li, Michael Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp
2006	—	`conf`	On Interactive Evolution Strategies. EvoWorkshops Ron Breukelaar, Michael Emmerich, Thomas Bäck
2005	C	`conf`	An EMO Algorithm Using the Hypervolume Measure as Selection Criterion. EMO Michael Emmerich, Nicola Beume, Boris Naujoks
2005	A	`conf`	Counteracting genetic drift and disruptive recombination in (µ GECCO Mike Preuss, Lutz Schönemann, Michael Emmerich
2004	J	`jnl`	On the Extinction of Evolutionary Algorithm Subpopulations on Multimodal Landscapes. Informatica (Slovenia) Lutz Schönemann, Michael Emmerich, Mike Preuss
2002	A	`conf`	Metamodel-Assisted Evolution Strategies. PPSN Michael Emmerich, Alexios Giotis, Mutlu Özdemir, Thomas Bäck, Kyriakos C. Giannakoglou
2001	J	`jnl`	Design of Graph-Based Evolutionary Algorithms: A Case Study for Chemical Process Networks. Evol. Comput. Michael Emmerich, Monika Grötzner, Martin Schütz
1998	C	`conf`	Service Trading for Mobile Agents with LDAP as Service Directory. WETICE Anthony Sang-Bum Park, Michael Emmerich, Daniel Swertz