Search Results - subject:"Algorithm"

An advanced Successive Derivative Shortest Path algorithm for concave cost network flow problems

Yang, Lu; Yang, Zhouwang - In: Operations research perspectives 14 (2025), pp. 1-13

overcome these limitations, this paper proposes the Successive Derivative Shortest Path (SDSP) algorithm, an efficient approach …. By integrating regional first-order information and employing an interval reduction mechanism, the SDSP algorithm … experiments, including parameter selection, validation, and comparative analysis, demonstrate that the SDSP algorithm outperforms …

Persistent link: https://www.econbiz.de/10015433545

Neighbourhood search-based metaheuristics for the bi-objective Pareto optimization of total weighted earliness-tardiness and makespan in a JIT single machine scheduling problem

Babu, Sona; Girish, B. S. - In: Operations research perspectives 14 (2025), pp. 1-30

proposed to generate Pareto-optimal solutions for this NP-hard problem. An optimal timing algorithm (OTA) is presented that …

Persistent link: https://www.econbiz.de/10015433572

Scheduling with sequence-dependent setup times in short-term production planning : a main path analysis-based review

Ying, Kuo-Ching; Pourhejazy, Pourya; Lin, Zhi-Rong - In: Operations research perspectives 14 (2025), pp. 1-17

systematic review of setup times in the short-term production planning literature, using an objective, algorithm-based approach …

Persistent link: https://www.econbiz.de/10015433624

A heuristic algorithm with multi-scale perturbations for point arrangement and equal circle packing in a convex container

Lai, Xiangjing; Hao, Jin-Kao; Yue, Dong; Zhou, Yangming - In: Computers & operations research : an international journal 181 (2025), pp. 1-20

Persistent link: https://www.econbiz.de/10015433709

Online algorithms with foresight for radiotherapy patient scheduling

Aringhieri, Roberto; Duma, Davide; Squillace, Giuseppe - In: Computers & operations research : an international journal 182 (2025), pp. 1-17

Persistent link: https://www.econbiz.de/10015433990

Decision support algorithm development for assortment optimization in the retail chain

Iurasova, Olga - In: Journal of business economics and management 26 (2025) 1, pp. 127-144

goods sold per day. The algorithm's benefits and effectiveness were calculated based on real data after implementation. …

Persistent link: https://www.econbiz.de/10015413406

Churn prediction for SaaS company with machine learning

Sanches, Hugo Eduardo; Possebom, Ayslan Trevizan; … - In: Innovation & management review 22 (2025) 2, pp. 130-142

Purpose In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company's bottom line. Among prediction techniques,...

Persistent link: https://www.econbiz.de/10015414957

On enhancing the explainability and fairness of tree ensembles

Carrizosa, Emilio; Kurishchenko, Kseniia; Romero … - In: European journal of operational research : EJOR 323 (2025) 2, pp. 599-608

Persistent link: https://www.econbiz.de/10015416178

Scalable targeting of social protection: when do algorithms out-perform surveys and community knowledge?

Aiken, Emily; Ashraf, Anik; Blumenstock, Joshua E.; … - 2025

Persistent link: https://www.econbiz.de/10015417521

Minimizing total completion time and makespan for a multi-scenario bi-criteria parallel machine scheduling problem

Zhang, Xiechen; Angel, Eric; Chu, Feng; Regnault, Damien - In: European journal of operational research : EJOR 321 (2025) 2, pp. 397-406

Persistent link: https://www.econbiz.de/10015408276