Mixed-Integer Programming

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Combinatorial Optimization

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Mixed-Integer Programming

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Classical Solvers

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Future Llm-Assisted Solver Development

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Metaheuristics

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Particle Swarm Optimization

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285 papers

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Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations
May 25, 2026Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro +1Electricity Price Forecasting Shapley Value
Anarchy in the swarm: Testing informed and uninformed diversity-enhancing mechanisms within PSO framework
May 24, 2026Piotr Urbańczyk, Aleksandra UrbańczykParticle Swarm Optimization Swarms
Solving Combinatorial Counting Problems with Weighted First-Order Model Counting
May 24, 2026Yuanhong Wang, Juhua Pu, Yuxu Zhou +2Combinations Counting
Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization
May 23, 2026Khen Cohen, Mark Glass, Meir Feder +1Quantum Approximate Optimization Algorithm Semidefinite Programming
CP or DP? Why Not Both: A Case Study in the Partial Shop Scheduling Problem
May 22, 2026Emma Legrand, Roger Kameugne, Pierre SchausCombinatorial Optimization Case Study
Accelerating ground state search of spatial photonic Ising machines with genetic-simulated annealing hybrid algorithm
May 22, 2026Ze Zheng, Ruhui Ni, Jingyi Zhao +6Quantum Approximate Optimization Algorithm Metaheuristics
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Stochastic Delays Mixed-Integer Programming
Cyber-Physical Anomaly Detection in IoT-Enabled Smart Grids Using Machine Learning and Metaheuristic Feature Optimization
May 21, 2026Adis Alihodžić, Eva Tuba, Milan TubaSmart Grids Attack Detection
From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$ -Sparse GLMs
May 21, 2026Jiachang Liu, Andrea LodiClassical Solvers Parallel
SO-Mamba: State-Ownership Mamba for Unrolled MRI Reconstruction
May 21, 2026Pengcheng Fang, Hongli Chen, Fangfang Tang +3Magnetic Resonance Imaging Reconstruction Mamba
Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning
May 20, 2026Jingfeng Zhong, Zhengxiang Liu, Zhijie Wang +1Integral Future Llm-Assisted Solver Development
Convergence Analysis of Evolution Strategies for Mixed-Integer Optimization
May 20, 2026Ryoki Hamano, Kento Uchida, Shinichi ShirakawaEvolutionary Search Mixed-Integer Programming
Beyond Numerical Features: CNN-Driven Algorithm Selection via Contour Plots for Continuous Black-Box Optimization
May 20, 2026Yiliang Yuan, Xiang Shi, Mustafa MisirBlack-Box Optimization Contours
WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems
May 20, 2026Xuan Wu, Jinbiao Chen, Yang Li +7Neural Solvers Combinatorial Optimization
Towards Distillation Guarantees under Algorithmic Alignment for Combinatorial Optimization
May 19, 2026Thien Le, Melanie WeberProgressive Distillation Combinatorial Optimization
Projecting Latent RL Actions: Towards Generalizable and Scalable Graph Combinatorial Optimization
May 19, 2026Franco Terranova, Guillermo Bernardez, Albert Cabellos-Aparicio +2Combinatorial Optimization Graph Representations
Transforming Constraint Programs to Input for Local Search
May 19, 2026Jo Devriendt, Patrick De Causmaecker, Marc DeneckerParallel Continuous Local Search Constraint Satisfaction
GOAL: Graph-based Objective-Aligned Diffusion Solvers for Dynamic Multi-Objective Optimization
May 18, 2026Xingyu LiCombinatorial Optimization Multi-Objective Optimization
Provably Data-driven Lagrangian Relaxation for Mixed Integer Linear Programming
May 18, 2026Tung Quoc Le, Anh Tuan Nguyen, Viet Anh NguyenMixed-Integer Programming Semidefinite Programming
When Fireflies Cluster; Enhancing Automatic Clustering via Centroid-Guided Firefly Optimization
May 18, 2026MKA Ariyaratne, Azwirman Gusrialdi, Yury Nikulin +1Image Clustering Particle Swarm Optimization
Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers
May 18, 2026Soheyl Massoudi, Gabriel Apaza, Milad Habibi +1Future Llm-Assisted Solver Development Llm-Based Optimization Modeling
Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis
May 17, 2026Fatemeh Haji, Javier Delarosa Quiros, Peyman NajafiradFuture Llm-Assisted Solver Development Tree Search
Evolutionary Extreme Learning Machine of ab-initio Energy Landscapes for Crystal Structure Prediction using Manta Ray Optimization with Levy Flight
May 16, 2026Adrian Rubio-SolisEvolution Particle Swarm Optimization
Lifelong LaCAM with Local Guidance for Lifelong MAPF
May 16, 2026Tomoki Arita, Keisuke OkumuraMulti-Agent Path Finding Congestion Mitigation
From Data to Action: Accelerating Refinery Optimization with AI
May 14, 2026Dániel Pfeifer, Ábrahám Papp, Tibor Bernáth +4Mixed-Integer Programming Llm-Based Optimization Modeling
An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization
May 14, 2026Sohaib AfifiNeural Solvers Combinatorial Optimization
Distribution-Aware Algorithm Design with LLM Agents
May 13, 2026Saharsh Koganti, Priyadarsi Mishra, Pierfrancesco Beneventano +1Future Llm-Assisted Solver Development Large Language Model Agents
Graph Neural Networks with Triangle-Based Messages for the Multicut Problem
May 13, 2026Jannik Irmai, Lucas Fabian Naumann, Bjoern AndresMaximum Independent Set Graph Neural Networks
WASHH: An Anchor-Aware Whale-Guided Selection Hyper-Heuristic for Continuous Optimization and SVC Configuration
May 13, 2026Yifu Zhao, Xiaofan Zou, Junhao Wei +9Black-Box Optimization Hyperparameter Optimization
Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention
May 13, 2026Yuanzhe Wang, Tian Zhi, Zihang Wei +8Multi-Agent Path Finding Diffusion Planning
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
May 13, 2026Jianbo Lin, Xiaomin Yu, Yi Xin +7Critique Unsupervised On-Policy Self-Distillation
Neural QAOA $^{2}$ : Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization
May 13, 2026Zubin Zheng, Jiahao Wu, Shengcai LiuQuantum Approximate Optimization Algorithm Combinatorial Optimization
Quantum End-to-End Learning for Contextual Combinatorial Optimization
May 13, 2026Jaehwan Lee, Changhyun KwonQuantum Approximate Optimization Algorithm Combinatorial Optimization
Formalize, Don't Optimize: The Heuristic Trap in LLM-Generated Combinatorial Solvers
May 12, 2026Haoyu Wang, Yuliang Song, Tao Li +5Classical Solvers Label Constraint Modeling
Graph-Grounded Optimization: Rao-Family Metaheuristics, Classical OR, and SLM-Driven Formulation over Knowledge Graphs
May 12, 2026Madhulatha Mandarapu, Sandeep KunkunuruCombinatorial Optimization Knowledge Graphs
Large Language Models as Amortized Pareto-Front Generators for Constrained Bi-Objective Convex Optimization
May 12, 2026Peipei Xu, SiYuan Ma, Yaohua Liu +4Multi-Objective Optimization Pareto Frontier
LLM4Branch: Large Language Model for Discovering Efficient Branching Policies of Integer Programs
May 11, 2026Zhinan Hou, Xingchen Li, Yankai Zhang +2Mixed-Integer Programming Multi-Objective Policy Optimization
PDEAgent-Bench: A Multi-Metric, Multi-Library Benchmark for PDE Solver Generation
May 10, 2026Zhen Hang, Yushan Yashengjiang, Junhui Li +21Partial Differential Equation Benchmarks Future Llm-Assisted Solver Development
Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts
May 10, 2026Ilay Yavlovich, Jad Agbaria, Muhamed Mhamed +2Patient-To-Room Assignment Problem Combinatorial Optimization
Agentic MIP Research: Accelerated Constraint Handler Generation
May 9, 2026Liding Xu, Yugeng Zhou, Sebastian PokuttaConstraint Satisfaction Mixed-Integer Programming
Drain-Vortex Optimization: A Population-Based Metaheuristic Inspired by Multi-Drain Free-Vortex Flow
May 9, 2026Mohsen Omidi, Brian VaughanMetaheuristics Turbulence
AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
May 9, 2026Hyunmin Hwang, Jaemin Kim, Choonghan Kim +2Multi-Agent Reasoning Reasoning Benchmark
Alternating Target-Path Planning for Scalable Multi-Agent Coordination
May 8, 2026Yu Kumagai, Keisuke OkumuraMulti-Agent Path Finding Coverage Path Planning
Sample Complexity of Stochastic Optimization with Integer Variables
May 8, 2026Hongyu Cheng, Yinghao Zheng, Marco Molinaro +1Stochastic Optimization Mixed-Integer Programming
HMACE: Heterogeneous Multi-Agent Collaborative Evolution for Combinatorial Optimization
May 8, 2026Yuping Yan, Jirui Han, Fei Ming +2Multi-Agent Evolution Combinatorial Optimization
Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks
May 8, 2026Hao Chen, Chendi Qian, Christopher Morris +2Semidefinite Programming Maximum Independent Set
Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms
May 7, 2026Awa Khouna, Youssouf Emine, Julien Ferry +1Decision Trees Counterfactual Explanation
DBMSolver: A Training-free Diffusion Bridge Sampler for High-Quality Image-to-Image Translation
May 7, 2026Sankarshana Venugopal, Mohammad Mostafavi, Jonghyun ChoiImage-To-Image Translation Future Llm-Assisted Solver Development
ReaComp: Compiling LLM Reasoning into Symbolic Solvers for Efficient Program Synthesis
May 6, 2026Atharva Naik, Yash Mathur, Prakam +2Mock-Interface Synthesis Large Language Model Reasoning
Indian Wedding System Optimization (IWSO): A Novel Socially Inspired Metaheuristic with Operational Design and Analysis
May 5, 2026Deepika Saxena, Kishu Gupta, Jitendra Kumar +5Particle Swarm Optimization Metaheuristics
Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization
May 2, 2026T. Satyanarayana Murthy, B. Swathi Sowmya, Santhosh Voruganti +3Vehicle Routing Problem Quantum Approximate Optimization Algorithm
Decision-Focused Learning via Tangent-Space Projection of Prediction Error
May 2, 2026Junhyeong Lee, Sangjin Jin, Yongjae LeeLinear Regret Reward-Prediction Error
Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem
May 1, 2026Yinghao Qin, Xinwei Wang, Mosab Bazargani +1Metaheuristics Bilevel Optimization
Acceleration of horizontal numerical advection for atmospheric modeling through surrogate modeling with temporal coarse-graining
Apr 30, 2026Manho Park, Christopher V. Rackauckas, Christopher W. TessumAdvection-Reaction-Diffusion Surrogate Models
Elimination Templates in Macaulay2
Apr 30, 2026Manav Batavia, Cheng Chen, Anna Natalie Chlopecki +4Chern Numbers Classical Solvers
Design Structure Matrix Modularization with Large Language Models
Apr 30, 2026Shuo Jiang, Jianxi LuoEngineering Modular Framework
On the Expressive Power of GNNs to Solve Linear SDPs
Apr 30, 2026Chendi Qian, Christopher MorrisSemidefinite Programming Graph Neural Networks
Fairness for distribution network operations and planning
Apr 30, 2026Pedro F. C. de Carvalho, Zijie Liu, Md Umar Hashmi +1Fairness Constraints Networked Systems
EOS-Bench: A Comprehensive Benchmark for Earth Observation Satellite Scheduling
Apr 28, 2026Qian Yin, Jiaxing Li, Jiaqi Cheng +23Cloud-Aware Earth Observation Sequences E3Vs-Bench
Online combinatorial optimization with stochastic decision sets and adversarial losses
Apr 28, 2026Gergely Neu, Michal ValkoBandits Combinatorial Optimization

May 25, 2026 · cs.LGJ/K move · Enter open · S save

Electricity Consumption Forecasting: An Approach Using Cooperative Ensemble Learning with SHapley Additive exPlanations

Eduardo Luiz Alba, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro, Érick Oliveira Rodrigues

Electricity expense management presents significant challenges, as this resource is susceptible to various influencing factors. In universities, the demand for this resource is rapidly growing with institutional expansion and has a significant environmental impact. In this study, the machine learning models long short-term memory (LSTM), random forest (RF), support vector regression (SVR), and extreme gradient boosting (XGBoost) were trained with historical consumption data from the Federal Institute of Paraná (IFPR) over the last seven years and climatic variables to forecast electricity consumption 12 months ahead. Datasets from two campuses were adopted. To improve model performance, feature selection was performed using Shapley additive explanations (SHAP), and hyperparameter optimization was carried out using genetic algorithm (GA) and particle swarm optimization (PSO). The results indicate that the proposed cooperative ensemble learning approach named Weaker Separator Booster (WSB) exhibited the best performance for datasets. Specifically, it achieved an sMAPE of 13.90% and MAE of 1990.87 kWh for the IFPR-Palmas Campus and an sMAPE of 18.72% and MAE of 465.02 kWh for the Coronel Vivida Campus. The SHAP analysis revealed distinct feature importance patterns across the two IFPR campuses. A commonality that emerged was the strong influence of lagged time-series values and a minimal influence of climatic variables.

Electricity Price Forecasting Shapley Value Machine Learning Ensemble Climate Particle Swarm Optimization

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