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Constrained optimization problems are often characterized by multiple constraints that, in the practice, must be satisfied with different tolerance levels.
Evolutionary Algorithms for Constrained Parameter Optimization Problems
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IS-PAES: Multiobjective Optimization with Efficient Constraint Handling. In IUTAM Symposium on Evolutionary Methods in Mechanics , Tadeusz Burczyński and Andrzej Osyczka (Eds.). Springer, Dordrecht, 111–120
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Exploiting open-endedness to solve problems through the search for novelty. In International conference on Artificial Life (Alife XI) . MIT Press, Cambridge, MA, 329–336
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Problem definitions and evaluation criteria for the CEC 2010 competition on constrained real-parameter optimization
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Novelty-Based Multiobjectivization. In New Horizons in Evolutionary Robotics , Stéphane Doncieux, Nicolas Bredèche, and Jean-Baptiste Mouret (Eds.). Springer, Berlin, Heidelberg, 139–154
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A modified Covariance Matrix Adaptation Evolution Strategy with adaptive penalty function and restart for constrained optimization
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Adaptive ranking mutation operator based differential evolution for constrained optimization
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Illuminating search spaces by mapping elites
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Quality and Diversity Optimization: A Unifying Modular Framework
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Exploring genetic programming systems with MAP-Elites
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A matrix adaptation evolution strategy for constrained real-parameter optimization. In Congress on Evolutionary Computation (CEC) . IEEE, New York, 1–8
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Solving constrained optimization problems by using covariance matrix adaptation evolutionary strategy with constraint handling methods. In Proceedings of the International Conference on Innovation in Artificial Intelligence . ACM, New York, NY, USA, 6–15
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Confronting the Challenge of Quality Diversity. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) . ACM, New York, NY, USA, 967–974
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Gaining Insight into Quality Diversity. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion . ACM, New York, NY, USA, 1061–1064
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Memetic Viability Evolution for Constrained Optimization
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Quality diversity: A new frontier for evolutionary computation
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A Comparison of Illumination Algorithms in Unbounded Spaces. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) Companion . ACM, New York, NY, USA, 1578–1581
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How to Solve the Dilemma of Margin-Based Equality Handling Methods. In Proceedings of the Workshop Computational Intelligence , Frank Hoffmann, Eyke Hüllermeier, and Ralf Mikut (Eds.). KIT Scientific Publishing, Karlsruhe, 257–270
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Eivind Samuelsen and Kyrre Glette. 2018 · 2018
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Enhanced Optimization with Composite Objectives and Novelty Selection
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Using Centroidal Voronoi Tessellations to Scale Up the Multidimensional Archive of Phenotypic Elites Algorithm
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Discovering the Elite Hypervolume by Leveraging Interspecies Correlation. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) . ACM, New York, NY, USA, 149–156
Vassiiis Vassiliades and Jean-Baptiste Mouret. 2018 · 2018
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Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints
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Benchmarking evolutionary algorithms for single objective real-valued constrained optimization–A critical review
Michael Hellwig and Hans-Georg Beyer. 2019 · 2019
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