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Evolutionary Computation, Volume 31
Volume 31, Number 1, Spring 2023
- Amirhossein Rajabi, Carsten Witt:
Stagnation Detection with Randomized Local Search. 1-29 - Christian Cintrano, Javier Ferrer, Manuel López-Ibáñez, Enrique Alba:
Hybridization of Evolutionary Operators with Elitist Iterated Racing for the Simulation Optimization of Traffic Lights Programs. 31-51 - Caie Hu, Sanyou Zeng, Changhe Li:
An Uncertainty Measure for Prediction of Non-Gaussian Process Surrogates. 53-71
Volume 31, Number 2, Summer 2023
- Kenneth A. De Jong, Emma Hart:
Editorial: Reflecting on Thirty Years of ECJ. 73-79 - Thomas H. W. Bäck, Anna V. Kononova, Bas van Stein, Hao Wang, Kirill A. Antonov, Roman T. Kalkreuth, Jacob de Nobel, Diederick Vermetten, Roy de Winter, Furong Ye:
Evolutionary Algorithms for Parameter Optimization - Thirty Years Later. 81-122 - Zbigniew Michalewicz:
A Personal Perspective on Evolutionary Computation: A 35-Year Journey. 123-155 - David B. Fogel:
Personal Reflections on Some Early Work in Evolving Strategies in the Iterated Prisoner's Dilemma. 157-161
Volume 31, Number 3, Fall 2023
- Nikolaus Frohner, Bernhard Neumann, Giulio Pace, Günther R. Raidl:
Approaching the Traveling Tournament Problem with Randomized Beam Search. 233-257 - Aishwaryaprajna, Jonathan E. Rowe:
Evolutionary and Estimation of Distribution Algorithms for Unconstrained, Constrained, and Multiobjective Noisy Combinatorial Optimisation Problems. 259-285 - Alexander Hagg, Martin L. Kliemank, Alexander Asteroth, Dominik Wilde, Mario Christopher Bedrunka, Holger Foysi, Dirk Reith:
Efficient Quality Diversity Optimization of 3D Buildings through 2D Pre-Optimization. 287-307 - Preethi Sankineni, Andrew M. Sutton:
Symmetry Breaking for Voting Mechanisms. 309-335
Volume 31, Number 4, Winter 2023
- Weijie Zheng, Benjamin Doerr:
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives. 337-373 - Atanu Mazumdar, Manuel López-Ibáñez, Tinkle Chugh, Jussi Hakanen, Kaisa Miettinen:
Treed Gaussian Process Regression for Solving Offline Data-Driven Continuous Multiobjective Optimization Problems. 375-399 - Andrea Murari, Emmanuele Peluso, Luca Spolladore, Riccardo Rossi, Michela Gelfusa:
Upgrades of Genetic Programming for Data-Driven Modeling of Time Series. 401-432 - Cuie Yang, Jinliang Ding, Yaochu Jin, Tianyou Chai:
A Data Stream Ensemble Assisted Multifactorial Evolutionary Algorithm for Offline Data-Driven Dynamic Optimization. 433-458
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