
A Modular Hybridization of Particle Swarm Optimization and Differential Evolution
In swarm intelligence, Particle Swarm Optimization (PSO) and Differentia...
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Discovering outstanding subgroup lists for numeric targets using MDL
The task of subgroup discovery (SD) is to find interpretable description...
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Towards Dynamic Algorithm Selection for Numerical BlackBox Optimization: Investigating BBOB as a Use Case
One of the most challenging problems in evolutionary computation is to s...
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Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability
We investigate a family of (μ+λ) Genetic Algorithms (GAs) which creates ...
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Differential evolution outside the box
This paper investigates how often the popular configurations of Differen...
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Improving Manyobjective Evolutionary Algorithms by Means of Expanded Cone Orders
Given a point in mdimensional objective space, the local environment of...
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A Tailored NSGAIII Instantiation for Flexible Job Shop Scheduling
A customized multiobjective evolutionary algorithm (MOEA) is proposed f...
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On Initializing Airline Crew Pairing Optimization for Largescale Complex Flight Networks
Crew pairing optimization (CPO) is critically important for any airline,...
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AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases BillionPlus Variables
Airline scheduling poses some of the most challenging problems in the en...
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RealWorld Airline Crew Pairing Optimization: Customized Genetic Algorithm versus Column Generation Method
Airline crew cost is the secondlargest operating cost component and its...
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Bayesian Neural Architecture Search using A TrainingFree Performance Metric
Recurrent neural networks (RNNs) are a powerful approach for time series...
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Benchmarking Discrete Optimization Heuristics with IOHprofiler
Automated benchmarking environments aim to support researchers in unders...
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Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMAES
When faced with a specific optimization problem, choosing which algorith...
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Modeling User Selection in Quality Diversity
The initial phase in real world engineering optimization and design is a...
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Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
In the field of multiobjective optimization algorithms, multiobjective...
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SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning
Realworld optimization problems often have expensive objective function...
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Online Selection of CMAES Variants
In the field of evolutionary computation, one of the most challenging to...
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Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation
A key property underlying the success of evolutionary algorithms (EAs) i...
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IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
IOHprofiler is a new tool for analyzing and comparing iterative optimiza...
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Automatic Configuration of Deep Neural Networks with EGO
Designing the architecture for an artificial neural network is a cumbers...
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Towards a TheoryGuided Benchmarking Suite for Discrete BlackBox Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes
Theoretical and empirical research on evolutionary computation methods c...
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Prototype Discovery using QualityDiversity
An iterative computeraided ideation procedure is introduced, building o...
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Artificial Intelligence and Data Science in the Automotive Industry
Data science and machine learning are the key technologies when it comes...
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Clusterbased Kriging Approximation Algorithms for Complexity Reduction
Kriging or Gaussian Process Regression is applied in many fields as a no...
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Local SubspaceBased Outlier Detection using Global Neighbourhoods
Outlier detection in highdimensional data is a challenging yet importan...
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Evolving the Structure of Evolution Strategies
Various variants of the well known Covariance Matrix Adaptation Evolutio...
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Solving the Gproblems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control
Constrained optimization of highdimensional numerical problems plays an...
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Multiobjective Optimization of Classifiers by Means of 3D Convex Hull Based Evolutionary Algorithm
Finding a good classifier is a multiobjective optimization problem with ...
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Thomas Bäck
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