Automatic generation of algorithms for robust optimisation problems using grammar-guided genetic programming

DOI10.1016/j.cor.2021.105364OpenAlexW3163083262MaRDI QIDQ2668793

Marc Goerigk, Martin Hughes, Trivikram Dokka

Publication date: 7 March 2022

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.07294

zbMATH Keywords

metaheuristicsglobal optimisationgenetic programmingrobust optimisationimplementation uncertainty

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• A new expected-improvement algorithm for continuous minimax optimization
• Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools
• A literature survey of benchmark functions for global optimisation problems
• Robust optimization - a comprehensive survey
• Automating the design of data mining algorithms. An evolutionary computation approach
• Robust discrete optimization and its applications
• A largest empty hypersphere metaheuristic for robust optimisation with implementation uncertainty
• Expected improvement based infill sampling for global robust optimization of constrained problems
• Evolutionary robust optimization in production planning -- interactions between number of objectives, sample size and choice of robustness measure
• A comprehensive survey on particle swarm optimization algorithm and its applications
• Worst-case global optimization of black-box functions through Kriging and relaxation
• Recent advances in robust optimization: an overview
• Representative scenario construction and preprocessing for robust combinatorial optimization problems
• Particle swarm metaheuristics for robust optimisation with implementation uncertainty
• Robust Convex Optimization
• Nonconvex Robust Optimization for Problems with Constraints
• Robust Optimization for Unconstrained Simulation-Based Problems
• Theory and Applications of Robust Optimization
• Exploring Hyper-heuristic Methodologies with Genetic Programming
• Clan particle swarm optimization
• Surrogate‐based methods for black‐box optimization
• Particle swarm optimization in electromagnetics

This page was built for publication: Automatic generation of algorithms for robust optimisation problems using grammar-guided genetic programming