Search Results - subject:"black box optimization"

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

Background: The Multi Depot Pickup and Delivery Problem with Time Windows and Heterogeneous Vehicle Fleets (MDPDPTWHV) is a strongly practically oriented routing problem with many real-world constraints. Due to its complexity, solution approaches with sufficiently good quality ideally contain...

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

Quantile optimization via multiple-timescale local search for black-box functions

Hu, Jiaqiao; Song, Meichen; Fu, Michael - In: Operations research 73 (2025) 3, pp. 1535-1557

Persistent link: https://www.econbiz.de/10015445769

Technical note: maximum likelihood optimization via parallel estimating gradient ascent

Liu, Quanquan; Wang, Yining - In: Computational economics 66 (2025) 6, pp. 4621-4643

Persistent link: https://www.econbiz.de/10015591412

Resource allocation problems with expensive function evaluations

Eikelder, S. C. M. ten; Amerongen, J. H. M. van - In: European journal of operational research : EJOR 306 (2023) 3, pp. 1170-1185

Persistent link: https://www.econbiz.de/10014279726

An integer black-box optimization model for repairable spare parts management

Bernabei, Giuseppe; Costantino, Francesco; Palagi, Laura; … - In: International journal of information systems and supply … 14 (2021) 2, pp. 46-68

Persistent link: https://www.econbiz.de/10012520746

An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems

Müller, Juliane - In: INFOR : information systems and operational research 58 (2020) 2, pp. 264-289

Persistent link: https://www.econbiz.de/10012221406

Surrogate optimization of computationally expensive black-box problems with hidden constraints

Müller, Juliane; Day, Marcus - In: INFORMS journal on computing : JOC 31 (2019) 4, pp. 689-702

Persistent link: https://www.econbiz.de/10012125734

SOCEMO : surrogate optimization of computationally expensive multiobjective problems

Müller, Juliane - In: INFORMS journal on computing : JOC 29 (2017) 4, pp. 581-596

Persistent link: https://www.econbiz.de/10011772396

A black-box scatter search for optimization problems with integer variables

Laguna, Manuel; Gortázar, Francisco; Gallego, Micael; … - In: Journal of Global Optimization 58 (2014) 3, pp. 497-516

The goal of this work is the development of a black-box solver based on the scatter search methodology. In particular, we seek a solver capable of obtaining high quality outcomes to optimization problems for which solutions are represented as a vector of integer values. We refer to these...

Persistent link: https://www.econbiz.de/10010994086

Weight and power optimization of steam bottoming cycle for offshore oil and gas installations

Nord, Lars O.; Martelli, Emanuele; Bolland, Olav - In: Energy 76 (2014) C, pp. 891-898

Offshore oil and gas installations are mostly powered by simple cycle gas turbines. To increase the efficiency, a steam bottoming cycle could be added to the gas turbine. One of the keys to the implementation of combined cycles on offshore oil and gas installations is for the steam cycle to have...

Persistent link: https://www.econbiz.de/10010939845