Learning and Intelligent Optimization

Randomized Greedy Sampling for JSSP.- Binarized Monte Carlo Search for Selection Problems.- Effective Kinodynamic Planning and Exploration through Quality Diversity and Trajectory Optimization.- Decoupled Design of Experiments for Expensive Multi objective Problems.- C2VRPTW Assigning capacity to vehicles and nodes in a Vehicle Routing Problem for real-world delivery application.- A constrained JKO scheme for effective and efficient Wasserstein Gradient Flows.- MLE free Gaussian Process based Bayesian Optimization.- Efficient vertex linear orderings to find minimal Feedback Arc Sets (minFAS).- A Real Time Adaptive Tabu Search for Handling Zoom In/Out in Map Labeling Problem.- An SMC Sampler for Decision Trees with Enhanced Initial Proposal for Stochastic Metaheuristic Optimization.- Multi Assignment Schedule A New Behavioral Cloning Method for the Job Shop Scheduling Problem.- An imitation based learning approach using DAgger for the Casual Employee Call Timing Problem.- Conditional Importance Resampling for an Enhanced Sequential Monte Carlo Sampler.- Applying Instance Space Analysis to Optimize the Construction of Matheuristics.- WANCE Learnt Clause Evaluation Method for SAT Solver Using Graph Structure.- Multi output regression for travel demand estimation in an urban road network.- Approximate dynamic programming for inland empty container inventory management.- Algorithm Switching for Multiobjective Predictions in Renewable Energy Markets.- ClassBO Bayesian Optimization for Heterogeneous Functions.- How evolutionary algorithms consume energy depending on the language and its level.- CLS Luigi Analytics Pipeline Synthesis.- A R2 based Multi objective Reinforcement Learning Algorithm.- Robust Airline Fleet and Crew Scheduling: A Matheuristic Approach.- Measuring Social Mood on Economy During Covid Times A BiLSTM Neural Network Approach.- Deep Learning for the Classification of Ports in Maritime Transport Statistics via AIS Data.- Multi objective Stochastic Optimization with AI Predictions on Management of Battery Energy Storage Systems.- Efficient Line Search Method Based on Regression and Uncertainty Quantification.- Parallelizing High Dimensional Surrogate Based Discrete Multi Objective Optimization with Constrain.- A Bayesian approach for prompt optimization in LLMs.- Synergies of Deep and Classical Exploratory Landscape Features for Automated Algorithm Selection.- Sustainable Development Index using MILP to assign relative weight to different UNSDG parameters.- An Evaluation of Domain agnostic Representations to Enable Multi task Learning in Combinatorial Optimisation.- Heuristic algorithms for the planar intermodal p hub location a possibilistic clustering approach.- Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation.- An Approximate and Optimize Method for Security Constrained AC Optimal Power Flow.- auto sktime Automated Time Series Forecasting.