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Global Optimization

190 directly classified papers

Papers per year

Papers

Spatial Branch-and-Bound for Computing Multiplayer Nash Equilibrium AAAI 2026
A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling AAAI 2026
ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions AAAI 2026
EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization AAAI 2026
A Biconvex Method for Minimum-Time Motion Planning Through Sequences of Convex Sets RSS 2025
(1+1) Genetic Programming with Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization AAAI 2025
Interlocking-free Selective Rationalization Through Genetic-based Learning ACL 2025
Neuro-Guided Graph Search for Symbolic Regression (Student Abstract) AAAI 2025
Global Contact-Rich Planning with Sparsity-Rich Semidefinite Relaxations RSS 2025
Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT AAAI 2025
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis AAAI 2025
Adaptive Experimental Design to Accelerate Scientific Discovery and Engineering Design AAAI 2025
Expanding Connected Components from Alternative Terminals: Global Optimization for Freshwater Fishes Under the UN's 30x30 Conservation Goal IJCAI 2025
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NIPS 2024
Scaling Up Pareto Optimization for Tree Structures with Affine Transformations: Evaluating Hybrid Floating Solar-Hydropower Systems in the Amazon AAAI 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities AISTATS 2024
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization NIPS 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Sample-and-Bound for Non-convex Optimization AAAI 2024
Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum AISTATS 2024