Parallel Problem Solving from Nature -- PPSN XIII

How to Assess Step-Size Adaptation Mechanisms in Randomised Search

Pages 60-69

Hansen, Nikolaus (et al.)

Maximum Likelihood-Based Online Adaptation of Hyper-Parameters in CMA-ES

Pages 70-79

Loshchilov, Ilya (et al.)

Run-Time Parameter Selection and Tuning for Energy Optimization Algorithms

Pages 80-89

Mauser, Ingo (et al.)

Towards a Method for Automatic Algorithm Configuration: A Design Evaluation Using Tuners

Pages 90-99

Montero, Elizabeth (et al.)

Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem

Pages 100-109

Nallaperuma, Samadhi (et al.)

Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation

Pages 110-119

Simões, Luís F. (et al.)

The Baldwin Effect Hinders Self-Adaptation

Pages 120-129

Smith, Jim

On Low Complexity Acceleration Techniques for Randomized Optimization

Pages 130-140

Stich, Sebastian Urban

Stopping Criteria for Multimodal Optimization

Pages 141-150

Wessing, Simon (et al.)

VLR: A Memory-Based Optimization Heuristic

Pages 151-160

Yun, Hansang (et al.)

A Differential Evolution Algorithm for the Permutation Flowshop Scheduling Problem with Total Flow Time Criterion

Pages 161-170

Santucci, Valentino (et al.)

A Taxonomy of Heterogeneity and Dynamics in Particle Swarm Optimisation

Pages 171-180

Goldingay, Harry (et al.)

Derivation of a Micro-Macro Link for Collective Decision-Making Systems

Pages 181-190

Hamann, Heiko (et al.)

Messy Coding in the XCS Classifier System for Sequence Labeling

Pages 191-200

Nakata, Masaya (et al.)

Reevaluating Exponential Crossover in Differential Evolution

Pages 201-210

Tanabe, Ryoji (et al.)

An Extended Michigan-Style Learning Classifier System for Flexible Supervised Learning, Classification, and Data Mining

Pages 211-221

Urbanowicz, Ryan J. (et al.)

A Cooperative Evolutionary Approach to Learn Communities in Multilayer Networks

Pages 222-232

Amelio, Alessia (et al.)

Novelty Search in Competitive Coevolution

Pages 233-242

Gomes, Jorge (et al.)

An Immune-Inspired Algorithm for the Set Cover Problem

Pages 243-251

Joshi, Ayush (et al.)

Natural Gradient Approach for Linearly Constrained Continuous Optimization

Pages 252-261

Akimoto, Youhei (et al.)

Evolutionary Constrained Optimization for a Jupiter Capture

Pages 262-271

Labroquère, Jérémie (et al.)

Viability Principles for Constrained Optimization Using a (1+1)-CMA-ES

Pages 272-281

Maesani, Andrea (et al.)

On the Life-Long Learning Capabilities of a NELLI*: A Hyper-Heuristic Optimisation System

Pages 282-291

Hart, Emma (et al.)

Adaptation in Nonlinear Learning Models for Nonstationary Tasks

Pages 292-301

Konen, Wolfgang (et al.)

On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments

Pages 302-311

Qian, Chao (et al.)

Evolving Mixtures of n-gram Models for Sequencing and Schedule Optimization

Pages 312-321

Chuang, Chung-Yao (et al.)

A Study on Multimemetic Estimation of Distribution Algorithms

Pages 322-331

Nogueras, Rafael (et al.)

Factoradic Representation for Permutation Optimisation

Pages 332-341

Regnier-Coudert, Olivier (et al.)

Combining Model-Based EAs for Mixed-Integer Problems

Pages 342-351

Sadowski, Krzysztof L. (et al.)

A New EDA by a Gradient-Driven Density

Pages 352-361

Domínguez, Ignacio Segovia (et al.)

From Expected Improvement to Investment Portfolio Improvement: Spreading the Risk in Kriging-Based Optimization

Pages 362-372

Ursem, Rasmus K.

Distance Measures for Permutations in Combinatorial Efficient Global Optimization

Pages 373-383

Zaefferer, Martin (et al.)

Boosting Search for Recursive Functions Using Partial Call-Trees

Pages 384-393

Alexander, Brad (et al.)

Compressing Regular Expression Sets for Deep Packet Inspection

Pages 394-403

Bartoli, Alberto (et al.)

Inferring and Exploiting Problem Structure with Schema Grammar

Pages 404-413

Cox, Chris R. (et al.)

Bent Function Synthesis by Means of Cartesian Genetic Programming

Pages 414-423

Hrbacek, Radek (et al.)

Population Exploration on Genotype Networks in Genetic Programming

Pages 424-433

Hu, Ting (et al.)

Improving Genetic Programming with Behavioral Consistency Measure

Pages 434-443

Krawiec, Krzysztof (et al.)

On Effective and Inexpensive Local Search Techniques in Genetic Programming Regression

Pages 444-453

Lane, Fergal (et al.)

Combining Semantically-Effective and Geometric Crossover Operators for Genetic Programming

Pages 454-464

Pawlak, Tomasz P.

On the Locality of Standard Search Operators in Grammatical Evolution

Pages 465-475

Thorhauer, Ann (et al.)

Recurrent Cartesian Genetic Programming

Pages 476-486

Turner, Andrew James (et al.)

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization

Pages 487-497

Aguirre, Hernán (et al.)

A Multiobjective Evolutionary Optimization Framework for Protein Purification Process Design

Pages 498-507

Allmendinger, Richard (et al.)

Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization

Pages 508-517

Bezerra, Leonardo C. T. (et al.)

Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator

Pages 518-527

Bringmann, Karl (et al.)

A Provably Asymptotically Fast Version of the Generalized Jensen Algorithm for Non-dominated Sorting

Pages 528-537

Buzdalov, Maxim (et al.)

Clustering-Based Selection for Evolutionary Many-Objective Optimization

Pages 538-547

Denysiuk, Roman (et al.)

On the Impact of Multiobjective Scalarizing Functions

Pages 548-558

Derbel, Bilel (et al.)

Multi-objective Quadratic Assignment Problem Instances Generator with a Known Optimum Solution

Pages 559-568

Drugan, Mădălina M.

Optimized Approximation Sets for Low-Dimensional Benchmark Pareto Fronts

Pages 569-578

Glasmachers, Tobias

Start Small, Grow Big? Saving Multi-objective Function Evaluations

Pages 579-588

Glasmachers, Tobias (et al.)

Queued Pareto Local Search for Multi-Objective Optimization

Pages 589-599

Inja, Maarten (et al.)

Distance-Based Analysis of Crossover Operators for Many-Objective Knapsack Problems

Pages 600-610

Ishibuchi, Hisao (et al.)

Discovery of Implicit Objectives by Compression of Interaction Matrix in Test-Based Problems

Pages 611-620

Liskowski, Paweł (et al.)

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives

Pages 621-630

López-Ibáñez, Manuel (et al.)

Racing Multi-objective Selection Probabilities

Pages 631-640

Marceau-Caron, Gaetan (et al.)

Shake Them All!

Pages 641-651

Marquet, Gauvain (et al.)

MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator

Pages 652-661

Menchaca-Mendez, Adriana (et al.)

Empirical Performance of the Approximation of the Least Hypervolume Contributor

Pages 662-671

Nowak, Krzysztof (et al.)

A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms

Pages 672-681

Yevseyeva, Iryna (et al.)

Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem

Pages 682-691

Zapotecas Martínez, Saúl (et al.)

Travelling Salesman Problem Solved ‘in materio’ by Evolved Carbon Nanotube Device

Pages 692-701

Clegg, Kester Dean (et al.)

Randomized Parameter Settings for Heterogeneous Workers in a Pool-Based Evolutionary Algorithm

Pages 702-710

García-Valdez, Mario (et al.)

PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model

Pages 711-720

Mambrini, Andrea (et al.)

Evolution-In-Materio: Solving Machine Learning Classification Problems Using Materials

Pages 721-730

Mohid, Maktuba (et al.)

An Analysis of Migration Strategies in Island-Based Multimemetic Algorithms

Pages 731-740

Nogueras, Rafael (et al.)

Tuning Evolutionary Multiobjective Optimization for Closed-Loop Estimation of Chromatographic Operating Conditions

Pages 741-750

Allmendinger, Richard (et al.)

A Geometrical Approach to the Incompatible Substructure Problem in Parallel Self-Assembly

Pages 751-760

Bhalla, Navneet (et al.)

Application of Evolutionary Methods to Semiconductor Double-Chirped Mirrors Design

Pages 761-770

Biedrzycki, Rafał (et al.)

Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data

Pages 771-781

Desell, Travis (et al.)

Random Partial Neighborhood Search for University Course Timetabling Problem

Pages 782-791

Nagata, Yuichi (et al.)

Balancing Bicycle Sharing Systems: An Analysis of Path Relinking and Recombination within a GRASP Hybrid

Pages 792-801

Papazek, Petrina (et al.)

Multiobjective Selection of Input Sensors for SVR Applied to Road Traffic Prediction

Pages 802-811

Petrlik, Jiri (et al.)

Evolving DPA-Resistant Boolean Functions

Pages 812-821

Picek, Stjepan (et al.)

Combining Evolutionary Computation and Algebraic Constructions to Find Cryptography-Relevant Boolean Functions

Pages 822-831

Picek, Stjepan (et al.)

A Memetic Algorithm for Multi Layer Hierarchical Ring Network Design

Pages 832-841

Schauer, Christian (et al.)

Scheduling the English Football League with a Multi-objective Evolutionary Algorithm

Pages 842-851

While, Lyndon (et al.)

Coupling Evolution and Information Theory for Autonomous Robotic Exploration

Pages 852-861

Zhang, Guohua (et al.)

Local Optima and Weight Distribution in the Number Partitioning Problem

Pages 862-871

Alyahya, Khulood (et al.)

Quasi-Stability of Real Coded Finite Populations

Pages 872-881

Arabas, Jarosław (et al.)

On the Use of Evolution Strategies for Optimization on Spherical Manifolds

Pages 882-891

Arnold, Dirk V.

Unbiased Black-Box Complexity of Parallel Search

Pages 892-901

Badkobeh, Golnaz (et al.)

A Generalized Markov-Chain Modelling Approach to (1,λ)-ES Linear Optimization

Pages 902-911

Chotard, Alexandre (et al.)

Level-Based Analysis of Genetic Algorithms and Other Search Processes

Pages 912-921

Corus, Dogan (et al.)

Maximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary Algorithms

Pages 922-931

Friedrich, Tobias (et al.)

On the Runtime Analysis of Fitness Sharing Mechanisms

Pages 932-941

Oliveto, Pietro S. (et al.)

Runtime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF Formulas

Pages 942-951

Sutton, Andrew M. (et al.)