Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing by Ali Abbasi, Filipe Alves, Rui A. Ribeiro, João L. Sobral, Ricardo Rodrigues

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Risk‐Constrained Optimal Scheduling in Water Distribution Systems Toward Real‐Time Pricing Electricity Market by Xinhong Zhou, Shipeng Chu, Tuqiao Zhang, Tingchao Yu, Yu Shao

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Advanced Optimization in E-Commerce Logistics: Combining Matheuristics With Random Forests for Hub Location Efficiency by Kassem Danach, Abbas Rammal, Imad Moukadem, Hassan Harb, Abbass Nasser

“…This study presents a novel framework integrating matheuristics with Random Forest machine learning to address the Hub Location Problem (HLP) in e-commerce logistics. Leveraging real-world data from a global logistics company, the methodology combines predictive analytics with robust optimization techniques to dynamically adjust hub configurations based on fluctuating demand and operational constraints. …”
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Synthetic Dataset Generation for Optimizing Multimodal Drone Delivery Systems by Diyar Altinses, David Orlando Salazar Torres, Asrat Mekonnen Gobachew, Stefan Lier, Andreas Schwung

“…The key contribution of our work is the development of a dynamic generator for multiple optimization problems with diverse complexities or even combinations of optimization problems. …”
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Ant Colony Optimization for Multiple Pickup and Multiple Delivery Vehicle Routing Problem with Time Window and Heterogeneous Fleets by Phan Nguyen Ky Phuc, Nguyen Le Phuong Thao

“…In the next step, the ant colony optimization algorithm is studied to solve the problem in the large-scale.…”
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Optimal information dissemination strategy to promote preventivebehaviors in multilayer epidemic networks by Heman Shakeri, Faryad Darabi Sahneh, Caterina Scoglio, Pietro Poggi-Corradini, Victor M. Preciado

“…Inherent differences between these two layers cause alerting through CN to be more effective but more expensive than IDN. The constraint for an epidemic to die out derived from a nonlinear Perron-Frobenius problem that was transformed into a semi-definite matrix inequality and served as a constraint for a convex optimization problem. …”
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A Biased–Randomized Iterated Local Search with Round-Robin for the Periodic Vehicle Routing Problem by Juan F. Gomez, Antonio R. Uguina, Javier Panadero, Angel A. Juan

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Resource constraint scheduling on two dedicated machines: Application to avionics by Ouissem Mesli-Kesraoui, Loic Ledreck, Emmanuel Grolleau, Soraya Kesraoui, Pascal Berruet, Yassine Ouhammou, Patrick Girard

“…We evaluate several Mixed-Integer Linear Programming and Constraint Programming formulations of the problem, using Cplex, CPO, Gurobi, and Z3, against several proposed heuristics. …”
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Modeling and Solving the Knapsack Problem with a Multi-Objective Equilibrium Optimizer Algorithm Based on Weighted Congestion Distance by Ziqian Wang, Xin Huang, Yan Zhang, Danju Lv, Wei Li, Zhicheng Zhu, Jian’e Dong

“…Considering the discrete characteristics of the knapsack combination optimization problem, our algorithm also incorporates appropriate discrete constraint handling. …”
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Cold Chain Logistics Path Optimization with Adaptive Speed and Hybrid Genetic Algorithm Solution by Yuhui Sun, Dazhi Pan

“…Through comparison to other algorithms in the literature, the results show that the hybrid genetic algorithm not only improves customer satisfaction, but also maintains a lower total cost, which is obviously superior when solving the complex cold chain distribution path optimization problem; further comparison and analysis of the mathematical model in this paper with the single-dimension satisfaction model reveals that under the same satisfaction constraint threshold, the model in this paper can significantly reduce the system operating cost; we also deeply discuss the influence mechanism of vehicle traveling mode and customer point sparsity radius on distribution path planning.…”
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Presenting two new methods for solving linear interval optimal control problems using the resilience approach of control signal by Elnaz Hosseini, Mehdi Allahdadi, Samaneh Soradi-Zeid

“…In these methods, the given interval optimal control problem is transformed into a non-interval (deterministic) optimal control problem so that it is possible to use the optimal control theory to solve it. …”
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Characterizations of Stability of Error Bounds for Convex Inequality Constraint Systems by Wei, Zhou, Théra, Michel, Yao, Jen-Chih

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Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitationa... by Soodabeh Darzi, Tiong Sieh Kiong, Mohammad Tariqul Islam, Mahamod Ismail, Salehin Kibria, Balasem Salem

“…To provide a solution to this problem, artificial intelligence (AI) technique is explored in order to enhance the LCMV beamforming ability. …”
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An Agent-Based Simulation and Optimization Approach for Sustainable Urban Logistics: A Case Study in Lisbon by Renan Paula Ramos Moreno, Rui Borges Lopes, Ana Luísa Ramos, José Vasconcelos Ferreira, Diogo Correia, Igor Eduardo Santos de Melo

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Strategic Deployment of a Single Mobile Weather Radar for the Enhancement of Meteorological Observation: A Coverage-Based Location Problem by Bikram Parajuli, Xin Feng

“…This approach aims to enhance weather observation while accounting for the deployment space’s safety constraints and geospatial characteristics. The proposed location problem is solved optimally using the geometric branch-and-bound algorithm and heuristically using swarm-based optimization algorithms. …”
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A Review of Constraint-Handling Techniques for Evolution Strategies by Oliver Kramer

“…Evolution strategies are successful global optimization methods. In many practical numerical problems constraints are not explicitly given. …”
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Optimizing Container Repositioning Using a Sequential Insertion Algorithm for Pickup-Delivery Routing in Export-Import Operations by Ary Arvianto, Dihan Chofifah Cahyani, Dhimas Wachid Nur Saputra

“…This study focuses on optimizing container repositioning for pick-up and delivery operations using a heuristic approach derived from the Vehicle Routing Problem with Pick-Up and Delivery and Time Windows (VRPPD-TW). …”
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On the Perspectives of Image-to-Lidar Constraints in Dynamic Network Optimisation by K. Mouzakidou, T. Stoltz, L. V. Jospin, D. A. Cucci, J. Skaloud

“…Stemming from a special form of graph-based optimization, the dynamic networks allow rigorous modeling of spatio-temporal constraints and thus provide the common framework for optimizing original observations from inertial systems with those coming from optical sensors. …”
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FROM: A Fish Recognition-Inspired Optimization Method for Multi-Agent Decision-Making Problems with a Fluid Environment by Yuchen Wang, Lei Sun

“…Underwater multi-agent systems face critical hydrodynamic constraints that significantly degrade the performance of conventional constraint optimization algorithms in dynamic fluid environments. …”
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Constrained MPC for a linear system to track time-varying reference signals by Renlong WU, Nobutaka WADA

“…The control algorithm is reduced to a convex optimization problem under linear matrix inequality constraints.…”
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