Suchergebnisse - Multiple objective programming Metaheuristics Set packing problems Hybrid method

Evolutionary, constructive and hybrid procedures for the bi-objective set packing problem

Autoren: Delorme, Xavier Gandibleux, Xavier Degoutin, Fabien et al.

Weitere Verfasser: Delorme, Xavier Gandibleux, Xavier Degoutin, Fabien et al.

Quelle: European Journal of Operational Research. 204:206-217

Schlagwörter: [INFO.INFO-RO]Computer Science [cs]/Operations Research [math.OC], 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Hybrid method, Metaheuristics, 02 engineering and technology, Set packing problem, Multiple objective programming

Zugangs-URL: https://hal.archives-ouvertes.fr/hal-00461771
https://dblp.uni-trier.de/db/journals/eor/eor204.html#DelormeGD10
https://hal-emse.ccsd.cnrs.fr/emse-00679897
https://doi.org/10.1016/j.ejor.2009.10.014
https://EconPapers.repec.org/RePEc:eee:ejores:v:204:y:2010:i:2:p:206-217
https://ideas.repec.org/a/eee/ejores/v204y2010i2p206-217.html

A two phase hybrid method to support 2D and 3D vehicle loading.

Autoren: Romao, Oberlan Christo Santos, Andre Gustavo dos Arroyo, Jose Elias Claudio

Quelle: 2012 12th International Conference on Intelligent Systems Design & Applications (ISDA); 1/ 1/2012, p320-325, 6p

A fast and scalable deepest-left-bottom-fill algorithm to solve irregular 3D cutting and packing problems using a semi-discrete representation.

Autoren: Chehrazad, Sahar Roose, Dirk Wauters, Tony

Quelle: International Journal of Production Research; Sep2025, Vol. 63 Issue 18, p6606-6629, 24p

Schlagwörter: PACKING problem (Mathematics), PARALLEL algorithms, DISCRETIZATION methods, GREEDY algorithms, COMPUTER performance

How Much Is Too Much? Facing Practical Limitations in Hyper-Heuristic Design for Packing Problems.

Autoren: Ortiz-Bayliss, José Carlos Vela Morales, Alonso Amaya, Ivan

Quelle: Algorithms; Aug2025, Vol. 18 Issue 8, p502, 15p

Schlagwörter: HEURISTIC, PACKING problem (Mathematics), MATHEMATICAL optimization, GENETIC algorithms, HEURISTIC algorithms

Dynamic feedback algorithm based on spatial corner fitness for solving the three-dimensional multiple bin-size bin packing problem.

Autoren: Liu, Yi Jiang, Xiaoyun

Quelle: Complex & Intelligent Systems; Jun2024, Vol. 10 Issue 3, p4055-4081, 27p

Schlagwörter: BIN packing problem, ALGORITHMS, HEURISTIC algorithms, INTEGER programming, GENETIC algorithms

Minimizing the total waste in the onedimensional cutting stock problem with the African buffalo optimization algorithm.

Autoren: Javier Montiel-Arrieta, Leonardo Barragan-Vite, Irving Carlos Seck-Tuoh-Mora, Juan et al.

Quelle: PeerJ Computer Science; Dec2023, p1-31, 31p

Schlagwörter: OPTIMIZATION algorithms, CUTTING stock problem, BIN packing problem, WASTE minimization, TRAVELING salesman problem, METAHEURISTIC algorithms

Investigating the spatial foundations of rural entrepreneurship development using a hybrid method of MCDM, ANN and DTree algorithm.

Autoren: Ye, Dandan Ahmadi Dehrashid, Hossein Moayedi, Hossein et al.

Quelle: Environment, Development & Sustainability; Oct2025, Vol. 27 Issue 10, p25177-25209, 33p

Schlagwörter: SUSTAINABLE development, RURAL development, ARTIFICIAL neural networks, REGRESSION trees, MULTIPLE criteria decision making, NATURAL resources, CAPACITY building, IRANIAN history

Geografische Kategorien: IRAN

Variable fixing heuristics for the capacitated multicommodity network flow problem with multiple transport lines, a heterogeneous fleet and time windows.

Autoren: Rebouças Guimarães, Lucas Pinho de Sousa, Jorge de Athayde Prata, Bruno

Quelle: Transportation Letters; Mar2022, Vol. 14 Issue 2, p84-93, 10p

Schlagwörter: INTEGER programming, HEURISTIC, OPERATING costs, FREIGHT & freightage, COST functions, FREIGHT forwarders

A Survey on Variable Neighborhood Search for Sustainable Logistics.

Autoren: de Armas, Jesica Moreno-Pérez, José A.

Quelle: Algorithms; Jan2025, Vol. 18 Issue 1, p38, 38p

Schlagwörter: MULTI-objective optimization, METAHEURISTIC algorithms, EVIDENCE gaps, ENVIRONMENTAL responsibility, ARTIFICIAL intelligence

Aggregated state dynamic programming for a multiobjective two-dimensional bin packing problem.

Autoren: Liu, Ya Chu, Chengbin Yu, Yugang

Quelle: International Journal of Production Research; Aug2012, Vol. 50 Issue 15, p4316-4325, 10p, 2 Illustrations, 2 Diagrams, 5 Charts

Schlagwörter: DYNAMIC programming, COMBINATORIAL packing & covering, BINS, HEURISTIC, DECOMPOSITION method, CUTTING stock problem

Modular Coordination of Vehicle Routing and Bin Packing Problems in Last Mile Logistics.

Autoren: Perić, Nikica Kolak, Anđelko Lešić, Vinko

Quelle: Logistics (2305-6290); Jun2025, Vol. 9 Issue 2, p70-N.PAG, 27p

Schlagwörter: VEHICLE routing problem, BIN packing problem, DELIVERY of goods, LOGISTICS, OPTIMIZATION algorithms, COMPUTATIONAL complexity, INDUSTRIAL research, MATHEMATICAL optimization

Energy-efficient communication-aware VM placement in cloud datacenter using hybrid ACO–GWO.

Autoren: Keshri, Rashmi Vidyarthi, Deo Prakash

Quelle: Cluster Computing; Dec2024, Vol. 27 Issue 9, p13047-13074, 28p

Schlagwörter: ANT algorithms, VIRTUAL machine systems, METAHEURISTIC algorithms, ENERGY consumption, RESEARCH personnel

Interpretability of rectangle packing solutions with Monte Carlo tree search.

Autoren: Galán López, Yeray González García, Cristian García Díaz, Vicente et al.

Quelle: Journal of Heuristics; Aug2024, Vol. 30 Issue 3/4, p173-198, 26p

Schlagwörter: METAHEURISTIC algorithms, MACHINE learning, DEEP learning, RECTANGLES, STATISTICAL sampling, GENETIC algorithms, SOCIAL problems

Exact and Hybrid Solutions for the Multi-Objective VM Reassignment Problem.

Autoren: Saber, Takfarinas Marques-Silva, Joao Thorburn, James et al.

Quelle: International Journal on Artificial Intelligence Tools; Feb2017, Vol. 26 Issue 1, p-1, 36p

Schlagwörter: HYBRID systems, PROBLEM solving, MACHINE learning, CONSTRAINT programming, LINEAR programming, METAHEURISTIC algorithms

Hybridizing a matheuristic with ALNS for the optimal collection and delivery of medical specimens.

Autoren: Ferone, Daniele Festa, Paola Fugaro, Serena et al.

Quelle: International Transactions in Operational Research; Jan2025, Vol. 32 Issue 1, p90-116, 27p

Schlagwörter: VEHICLE routing problem, DIAGNOSTIC specimens, BENCHMARK problems (Computer science), FLEXIBLE work arrangements, VEHICLE models

An introduction to the two‐dimensional rectangular cutting and packing problem.

Autoren: Oliveira, Óscar Gamboa, Dorabela Silva, Elsa

Quelle: International Transactions in Operational Research; Nov2023, Vol. 30 Issue 6, p3238-3266, 29p, 1 Black and White Photograph, 4 Charts, 12 Graphs

Schlagwörter: CUTTING stock problem, INDUSTRIAL applications

Multi-objective fuzzy-based adaptive memetic algorithm with hyper-heuristics to solve university course timetabling problem.

Autoren: Ghaffar, Abdul Sattar, Mian Usman Munir, Mubbasher et al.

Quelle: EAI Endorsed Transactions on Scalable Information Systems; 2022, Vol. 9 Issue 4, p1-16, 16p

Schlagwörter: TABU search algorithm, HEURISTIC, GENETIC algorithms, ARTIFICIAL intelligence, ALGORITHMS

Geografische Kategorien: LAHORE (Pakistan)

A Hybrid Reinforcement Learning Algorithm for 2D Irregular Packing Problems.

Autoren: Fang, Jie Rao, Yunqing Zhao, Xusheng et al.

Quelle: Mathematics (2227-7390); Jan2023, Vol. 11 Issue 2, p327, 17p

Schlagwörter: MACHINE learning, REINFORCEMENT learning, BIN packing problem, BLENDED learning, NP-hard problems

Metaheuristic Optimization of the Agricultural Biomass Supply Chain: Integrating Strategic, Tactical, and Operational Planning.

Autoren: Zahraee, Seyed Mojib Shiwakoti, Nirajan Stasinopoulos, Peter

Quelle: Energies (19961073); Aug2024, Vol. 17 Issue 16, p4040, 34p

Schlagwörter: OPTIMIZATION algorithms, METAHEURISTIC algorithms, PARTICLE swarm optimization, EVOLUTIONARY algorithms, GENETIC algorithms, BIOMASS conversion

A New Adjustment of the Branch and Price Algorithm for University Course Timetabling.

Autoren: Khorramizadeh, M.

Quelle: Journal of Mathematical Extension; 2022, Vol. 16 Issue 12, p1-32, 32p

Schlagwörter: COLUMN generation (Algorithms), PRICES, LINEAR programming, INTEGER programming, COLUMNS