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A Bayesian optimization approach for tuning a grouping genetic algorithm for solving practically oriented pickup and delivery problems

Rüther, Cornelius; Rieck, Julia - In: Logistics 8 (2024) 1, pp. 1-26

Grouping Genetic Algorithm (GGA) framework with several operators and population management variants. A Bayesian Optimization …

Persistent link: https://www.econbiz.de/10014507533

Genetic algorithms for optimizing two-stage DEA by considering unequal intermediate weights

Moradi, Alireza; Saati, Saber; Navabakhsh, Mehrzad - In: Opsearch : journal of the Operational Research Society … 60 (2023) 3, pp. 1202-1217

Persistent link: https://www.econbiz.de/10014383678

Evolutionary Algorithms in a Support Vector Regression Financial Forecasting Model : Case of Continuous Ant Colony Optimization Algorithms

Hong, Wei-Chiang - 2007

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...

Persistent link: https://www.econbiz.de/10014049169

Solving a Rap Using Metaheuristic Hybrid Algorithms

Eghbali, Hossein - 2020

-parallel and bridge systems is investigated. To solve the problem, a hybrid method based on Imperialism competitive algorithm and … genetics algorithm is used. The results of simulations demonstrate the superior performance of the proposed method in …

Persistent link: https://www.econbiz.de/10014032256

Mathematical modeling and two metaheuristic algorithms for integrated process planning and group scheduling with sequence-dependent setup time

Hosseinzadeh, Mohammad Reza; Heydari, Mehdi; Mazdeh, … - In: Operational research : an international journal 22 (2022) 5, pp. 5055-5105

Persistent link: https://www.econbiz.de/10013445601

Genetic based algorithms to solving multi-quays berth allocation problem with setup time constraints

Sangsawang, Chatnugrob; Longploypad, Cholthida - In: LogForum : elektroniczne czasopismo naukowe z dziedziny … 18 (2022) 4, pp. 505-515

Persistent link: https://www.econbiz.de/10013479390

Learning-based multi-objective evolutionary algorithm for batching decision problem

Meng, Ying; Li, Tianyang; Tang, Lixin - In: Computers & operations research : and their … 149 (2023), pp. 1-14

Persistent link: https://www.econbiz.de/10013460779

Distributed job-shop rescheduling problem considering reconfigurability of machines : a self-adaptive hybrid equilibrium optimiser

Mahmoodjanloo, M.; Tavakkoli-Moghaddam, R.; Baboli, A.; … - In: International journal of production research 60 (2022) 16, pp. 4973-4994

Persistent link: https://www.econbiz.de/10013500614

Optimising time in cloud using multi-hold inherited maximisation algorithm to reduce computational time

Kumar, D. S. Manoj; Sriramya, P. - In: International journal of intelligent enterprise 9 (2022) 3, pp. 370-382

Persistent link: https://www.econbiz.de/10014320139

A hybrid estimation of distribution algorithm for the offline 2D variable-sized bin packing problem

Borgulya, Istvan - In: Central European journal of operations research 32 (2024) 1, pp. 45-65

Persistent link: https://www.econbiz.de/10014471821