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Parallel Problem Solving from Nature - PPSN XV: 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part I

1, 2018

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Parallel Problem Solving from Nature - PPSN XV: 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II

1, 2018

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Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings

1, 2020

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Computing representations using hypervolume scalarizations

Computers & operations research, 2022-01, Vol.137, p.105349, Article 105349

2022

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Experimental Methods for the Analysis of Optimization Algorithms

1. Aufl., 2010

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On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem

Mathematical methods of operations research (Heidelberg, Germany), 2020-08, Vol.92 (1), p.107-132

2020

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Evolutionary Computation in Combinatorial Optimization: 19th European Conference, EvoCOP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings

1st Edition 2019, 2019

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Representation of the non-dominated set in biobjective discrete optimization

Computers & operations research, 2015-11, Vol.63, p.172-186

2015

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Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

2020

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The Hypervolume Indicator: Computational Problems and Algorithms

ACM computing surveys, 2021-07, Vol.54 (6), p.1-42

2021

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Greedy algorithms for a class of knapsack problems with binary weights

Computers & operations research, 2012-03, Vol.39 (3), p.498-511

2012

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Heuristic approaches to obtain low-discrepancy point sets via subset selection

Journal of Complexity, 2024-08, Vol.83, p.101852, Article 101852

2024

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Finding multi-objective supported efficient spanning trees

Computational optimization and applications, 2021-03, Vol.78 (2), p.491-528

2021

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Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions

Journal of Complexity, 2022-06, Vol.70, p.101645, Article 101645

2022

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A reconfigurable resource management framework for fog environments

Future generation computer systems, 2022-08, Vol.133, p.124-140

2022

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Editorial for the Special Issue on Reproducibility

Evolutionary computation, 2024-03, Vol.32 (1), p.1-2

2024

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A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling

Evolutionary Computation in Combinatorial Optimization, 2019, p.33-49

2019

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A model of anytime algorithm performance for bi-objective optimization

Journal of global optimization, 2021-02, Vol.79 (2), p.329-350

2021

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Decision space robustness for multi-objective integer linear programming

Annals of operations research, 2022-12, Vol.319 (2), p.1769-1791

2022

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On the Complexity of Computing the Hypervolume Indicator

IEEE transactions on evolutionary computation, 2009-10, Vol.13 (5), p.1075-1082

2009

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Special issue on exact and approximation methods for mixed-integer multi-objective optimization

Mathematical methods of operations research (Heidelberg, Germany), 2024-08, Vol.100 (1), p.1-4

2024

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Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers

Evolutionary Computation in Combinatorial Optimization, 2019, p.99-114

2019

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Greedy Hypervolume Subset Selection in Low Dimensions

Evolutionary computation, 2016-09, Vol.24 (3), p.521-544

2016

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An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant Processing Times on One Machine

Evolutionary Computation in Combinatorial Optimization, 2019, p.50-65

2019

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A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications

Evolutionary Computation in Combinatorial Optimization, 2019, p.1-16

2019

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Parallel Problem Solving from Nature - PPSN XV: 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part I

Parallel Problem Solving from Nature - PPSN XV: 15th International Conference, Coimbra, Portugal, September 8-12, 2018, Proceedings, Part II

Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15-17, 2020, Proceedings

Computing representations using hypervolume scalarizations

Experimental Methods for the Analysis of Optimization Algorithms

On the rectangular knapsack problem: approximation of a specific quadratic knapsack problem

Evolutionary Computation in Combinatorial Optimization: 19th European Conference, EvoCOP 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24-26, 2019, Proceedings

Representation of the non-dominated set in biobjective discrete optimization

Evolutionary Computation in Combinatorial Optimization: 20th European Conference, EvoCOP 2020, Held as Part of EvoStar 2020, Seville, Spain, April 15–17, 2020, Proceedings

The Hypervolume Indicator: Computational Problems and Algorithms

Greedy algorithms for a class of knapsack problems with binary weights

Heuristic approaches to obtain low-discrepancy point sets via subset selection

Finding multi-objective supported efficient spanning trees

Star discrepancy subset selection: Problem formulation and efficient approaches for low dimensions

A reconfigurable resource management framework for fog environments

Editorial for the Special Issue on Reproducibility

A New Representation in Genetic Programming for Evolving Dispatching Rules for Dynamic Flexible Job Shop Scheduling

A model of anytime algorithm performance for bi-objective optimization

Decision space robustness for multi-objective integer linear programming

On the Complexity of Computing the Hypervolume Indicator

Special issue on exact and approximation methods for mixed-integer multi-objective optimization

Rigorous Performance Analysis of State-of-the-Art TSP Heuristic Solvers

Greedy Hypervolume Subset Selection in Low Dimensions

An Iterated Local Search Algorithm for the Two-Machine Flow Shop Problem with Buffers and Constant Processing Times on One Machine

A Cooperative Optimization Approach for Distributing Service Points in Mobility Applications

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