Accelerated optimization evaluation of the main technical characteristics of the passenger aerial ropeway by Lagerev A.V., Lagerev I.A.

“…This allowed us to propose two ways of accelerated optimization evaluation: 1) reduction of the dimension of the optimization problem; 2) replacement of the search for the minimum of the objective function by the solution of a nonlinear algebraic equation. …”
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Knowledge and Behavior-Driven Fruit Fly Optimization Algorithm for Field Service Scheduling Problem with Customer Satisfaction by Bin Wu, Hui-Jun Jiang, Chao Wang, Min Dong

“…Customer satisfaction described by customer behavior characteristics based on the prospect theory is considered as the primary optimization goal in this paper. The knowledge of the insertion feasibility on the solution is analysed based on the skill constraint and time window. …”
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Optimized Travel Itineraries: Combining Mandatory Visits and Personalized Activities by Parida Jewpanya, Pinit Nuangpirom, Siwasit Pitjamit, Warisa Nakkiew

“…In today’s digital age, tourists often organize their excursions independently by utilizing information available on websites. However, due to constraints in designing customized tour routes such as travel time and budget, many still require assistance with vacation planning to optimize their experiences. …”
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Dynamic Scoring and Costing in the Orienteering Problem: A Model Based on Length of Stay by Giovano Alberto, Carles Sitompul

“…This complexity is compounded not only by the multitude of possible destinations, but also by non-negotiable constraints such as cost and time. To address these challenges, the orienteering problem represents a fundamental mathematical model that provides a theoretical basis for understanding the nuanced difficulties faced by travel agents.This study ventures into a novel iteration of the orienteering problem, with a particular focus on optimizing travel satisfaction based on length of stay. …”
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Interferometric phase reconstruction with temporal decorrelation model constraints for time-series InSAR surface deformation monitoring by Peng Shen, Changcheng Wang, Xingjun Luo, Jun Hu, Jie Wan

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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…However, solving this problem remains challenging due to the complex constraints involved. …”
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Optimal Allocation of Distributed Generation in Distribution System Considering Multi-type Demand Response Resources by Nan ZHAO, Beibei WANG

“…In order to fully utilize the resources of distribution system, a study is made in this paper on integrated planning of intermittent distributed generation and multi-type demand response resources. To obtain the optimal allocation scheme of intermittent DG and DR, a chance-constraint programming-based bi-level optimal model is established according to their output characteristics. …”
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MINIMAX PRINCIPLE IN THEORY AND PRACTICE OF MODERN GRAIN COMBINE ACTUATOR OPTIMAL DESIGN by Victor V. Radin

“…The problem on the design values optimal choice of the grain combine drive elements, when these elem ents are implemented through the V - belt and hydraulic transmissions, is set and solv ed. …”
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Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem by José García, Ivo Cattarinich, Paola Moraga, Hernan Pinto

“…The Multi-demand Multidimensional Knapsack Problem (MDMKP) is a challenging combinatorial task due to its capacity and demand constraints. …”
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Formulating and Solving Routing Problems on Quantum Computers by Stuart Harwood, Claudio Gambella, Dimitar Trenev, Andrea Simonetto, David Bernal Neira, Donny Greenberg

“…The determination of vehicle routes fulfilling connectivity, time, and operational constraints is a well-studied combinatorial optimization problem. …”
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A Rapid Convex Programming Method for Air-to-Air Missile Trajectory Based on Improved Trust-Region Algorithm by Zeng Yuwen, Zhang Huijun, Liao Xueyang

“…Firstly, taking the parabola-trajectory of air-to-air missile in the longitudinal plane as the research object, considering the endpoint constraints, path constraints and state constraints, after linearizing and discretizing the original state equations and constraints, it establishes the standard convex optimization problem model. …”
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Optimal Active-Reactive Power Dispatch for Distribution Network With Carbon Trading Based on Improved Multi-Objective Equilibrium Optimizer Algorithm by Furong Tu, Sumei Zheng, Kuncan Chen

“…In distribution networks with a high proportion of renewable energy, the optimal active-reactive power dispatch problem (OARPD) is increasingly complex due to the volatility and randomness of wind and solar output, as well as variations in grid load. …”
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Decoding as a linear ill-posed problem: The entropy minimization approach by Valérie Gauthier-Umaña, Henryk Gzyl, Enrique ter Horst

“…The problem of decoding can be thought of as consisting of solving an ill-posed, linear inverse problem with noisy data and box constraints upon the unknowns. …”
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Solving the Multi-Depot Vehicle Routing Problem Using a Hybrid Genetic Algorithm by Hengameh Shamsipoor

“…In the second stage, an innovative hybrid genetic algorithm determines the optimal route for each vehicle from the depot to the customers and back to the depot, ensuring that all problem constraints are satisfied. …”
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Fair Probabilistic Multi-Armed Bandit With Applications to Network Optimization by Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz

“…To address the FP-MAB problem, we propose two algorithms: Fair Probabilistic Explore-Then-Commit (FP-ETC) and Fair Probabilistic Optimism In the Face of Uncertainty (FP-OFU). …”
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The Effects of Spinning Reserve Uncertainty and Demand Response Programs on Transmission-Constrained Bidding Strategy by Mohammad Esmaeil Nazari, Marzieh Roodsarabi, Ehsan Modaressi Ghazvini, Ahmad Moddaresi Ghazvini

“…Where transmission constraints and spinning reserve uncertainty are considered, the optimal bidding strategy problem is solved in the energy and spinning reserve market for three-generation companies in the IEEE 6-bus network where transmission constraints are satisfied at all scenarios of spinning reserve requests. …”
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Heuristics Algorithms for a Heterogeneous Fleets VRP with Excessive Demand for the Vehicle at the Pickup Points, and the Longest Traveling Time Constraint: A Case Study in Prasitsu... by Sasitorn Kaewman, Raknoi Akararungruangkul

“…This paper presents a methodology to solve a special case of the vehicle routing problem (VRP) called the heterogeneous fleets VRP with excessive demand of the vehicle at the pickup points, and the longest time constraint (HFVRP-EXDE-LTC). …”
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Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

“…The lack of seamless integration between customer orders and production tasks, combined with the manual and time-consuming nature of schedule adjustments, highlights the need for an automated and optimized scheduling method. We propose a novel optimization-based approach that leverages mixed-integer linear programming (MILP) combined with a proprietary procedure for reducing the size of the modeled problem to generate feasible and/or optimal production schedules. …”
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Iterative Adaptive Multi-State Constrained Localization Algorithm Based on Vision/inertial Fusion by JIE Xiaohan, LIU Ning, SHEN Kai, QI Wenhao, LIU Xueqin

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Gaussian Process Regression with Soft Equality Constraints by Didem Kochan, Xiu Yang

“…Additionally, we introduce an adaptive learning algorithm to optimize the selection of constraint locations to further enhance the flexibility of the method. …”
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