Search Results - binary-based combinatorial optimization problems~

A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems

Authors: Unanue, I. Merino, M. Lozano, J.A.

Source: BIRD. BCAM's Institutional Repository Data
instname

Subject Terms: 0209 industrial biotechnology, Binary-based combinatorial optimization problems, 0202 electrical engineering, electronic engineering, information engineering, Walsh decomposition, 02 engineering and technology, Walsh functions

File Description: application/pdf

Access URL: http://hdl.handle.net/20.500.11824/1521
https://dblp.uni-trier.de/db/conf/cec/cec2021.html#Unanue0L21

An Improved Multi-State Particle Swarm Optimization for Discrete Combinatorial Optimization Problems

Authors: Ibrahim Ismail Ibrahim Zuwairie Md. Yusof Zulkifli et al.

Source: International Journal of Simulation Systems Science & Technology.

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://umpir.ump.edu.my/id/eprint/29595/

A Multi-state Gravitational Search Algorithm for Combinatorial Optimization Problems

Authors: Zulkifli Md. Yusof Hamzah Ahmad Ismail Ibrahim et al.

Source: 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks. :9-14

Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Characterization of rankings generated by pseudo-Boolean functions

Authors: Unanue Gual, Imanol Merino Maestre, María Lozano Alonso, José Antonio

Subject Terms: binary-based combinatorial optimization problems, pseudo-boolean functions, rankings, dyck words, theoretical analysis

File Description: application/pdf

Relation: info:eu-repo/grantAgreement/MICIN/PID2022-137442NB-I00; info:eu-repo/grantAgreement/MICIN/PID2019-104933GB-I00; https://www.sciencedirect.com/science/article/pii/S2210650224000786; Swarm and Evolutionary Computation 86 : (2024) // Art. ID. 101540; https://hdl.handle.net/10810/68311

Availability: https://hdl.handle.net/10810/68311
https://doi.org/10.1016/j.swevo.2024.101540

Grover Adaptive Search With Spin Variables

Authors: Shintaro Fujiwara Naoki Ishikawa

Source: IEEE Transactions on Quantum Engineering, Vol 6, Pp 1-13 (2025)

Subject Terms: Combinatorial optimization, Grover adaptive search (GAS), maximum-likelihood (ML) detection, multiple-input multiple-output (MIMO), quantum computing, syndrome decoding problem, Atomic physics. Constitution and properties of matter, QC170-197, Materials of engineering and construction. Mechanics of materials, TA401-492

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11113358/; https://doaj.org/toc/2689-1808

Access URL: https://doaj.org/article/685c07bd3f1a45569fac54700f624590

Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector

Authors: Marcelo Becerra-Rozas José Lemus-Romani Felipe Cisternas-Caneo et al.

Source: Mathematics, Vol 10, Iss 24, p 4776 (2022)

Subject Terms: combinatorial problems, metaheuristics, binarization scheme, backward Q-learning, machine learning, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/10/24/4776; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/de68e0c979f245ea9e4582be31b040a3

HOBOTAN: Efficient Higher Order Binary Optimization Solver with Tensor Networks and PyTorch

Authors: Yasuda, Shoya Sotobayashi, Shunsuke Minato, Yuichiro

Index Terms: Computer Science - Mathematical Software, Quantum Physics, text

URL: http://arxiv.org/abs/2407.19987

Characterization of rankings generated by pseudo-Boolean functions.

Authors: Unanue, Imanol Merino, María Lozano, Jose A.

Source: Swarm & Evolutionary Computation. Apr2024, Vol. 86, pN.PAG-N.PAG. 1p.

Subject Terms: Generating functions, Boolean functions, Combinatorial optimization

Binary Fruit Fly Swarm Algorithms for the Set Covering Problem

Authors: Crawford, Broderick Soto, Ricardo Mella, Hanns de la Fuente et al.

Availability: https://hdl.handle.net/11250/3026048

A Novel Learning-Based Binarization Scheme Selector for Swarm Algorithms Solving Combinatorial Problems.

Authors: Lemus-Romani, José Becerra-Rozas, Marcelo Crawford, Broderick et al.

Source: Mathematics (2227-7390). Nov2021, Vol. 9 Issue 22, p2887-2887. 1p.

Subject Terms: *PROBLEM solving, *ALGORITHMS, *REINFORCEMENT learning, *PARTICLE swarm optimization, *METAHEURISTIC algorithms, *DISCRETIZATION methods

A Multi-state Gravitational Search Algorithm for Combinatorial Optimization Problems.

Authors: Ibrahim, Ismail Ibrahim, Zuwairie Ahmad, Hamzah et al.

Source: IEEE Std C37.20.2-2015 (Revision of IEEE Std C37.20.2-1999); 2015, p9-14, 6p

A Novel Binary Artificial Jellyfish Search Algorithm for Solving 0–1 Knapsack Problems.

Authors: Yildizdan, Gülnur Baş, Emine

Source: Neural Processing Letters; Dec2023, Vol. 55 Issue 7, p8605-8671, 67p

Subject Terms: SEARCH algorithms, KNAPSACK problems, METAHEURISTIC algorithms, JELLYFISHES, COMBINATORIAL optimization, FORAGING behavior, TRANSFER functions

Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction.

Authors: Nau, Merlin A. Vija, A. Hans Gohn, Wesley et al.

Source: Journal of Imaging; Oct2023, Vol. 9 Issue 10, p221, 22p

Subject Terms: QUANTUM computing, TOMOGRAPHY, QUANTUM annealing, COMBINATORIAL optimization, HYBRID systems, IMAGE reconstruction

GAUSSIAN TRANSFER FUNCTIONS BASED BINARY PARTICLE SWARM OPTIMIZATION FOR ENHANCED PERFORMANCE IN UN-CAPACITATED FACILITY LOCATION PROBLEM.

Authors: Kalita, Kanak Cepova, Lenka Jangir, Pradeep

Source: MM Science Journal; Dec2024, p7906-7914, 9p

Subject Terms: EVOLUTIONARY algorithms, TRANSFER functions, GAUSSIAN function

Swarm-Inspired Computing to Solve Binary Optimization Problems: A Backward Q-Learning Binarization Scheme Selector.

Authors: Becerra-Rozas, Marcelo Lemus-Romani, José Cisternas-Caneo, Felipe et al.

Source: Mathematics (2227-7390); Dec2022, Vol. 10 Issue 24, p4776, 30p

Subject Terms: BIOLOGICALLY inspired computing, REINFORCEMENT learning, METAHEURISTIC algorithms

A genetic algorithm for the multi-stage and parallel-machine scheduling problem with job splitting – A case study for the solar cell industry.

Authors: Cheng, Chen-Yang Chen, Tzu-Li Wang, Li-Chih et al.

Source: International Journal of Production Research; Aug2013, Vol. 51 Issue 16, p4755-4777, 23p, 6 Black and White Photographs, 3 Diagrams, 8 Charts, 1 Graph

Subject Terms: SOLAR cell industry, GENETIC algorithms, MATHEMATICAL models, PRODUCTION scheduling, SOLAR cell manufacturing, MIXED integer linear programming, COMBINATORIAL optimization, OPERATIONS research

A Novel Multi-State Gravitational Search Algorithm for Discrete Optimization Problems.

Authors: Ibrahim, Ismail Ibrahim, Zuwairie Ahmad, Hamzah et al.

Source: International Journal of Simulation: Systems, Science & Technology; 2015, Vol. 16 Issue 6, p15.1-15.8, 8p

Subject Terms: SEARCH algorithms, TRAVELING sales personnel

A comprehensive survey on the sine–cosine optimization algorithm.

Authors: Rizk-Allah, Rizk M. Hassanien, Aboul Ella

Source: Artificial Intelligence Review; Jun2023, Vol. 56 Issue 6, p4801-4858, 58p

Subject Terms: OPTIMIZATION algorithms, TRANSCENDENTAL functions, SINE function, COSINE function, METAHEURISTIC algorithms, EVOLUTIONARY algorithms, BIBLIOGRAPHY

Combinatorial optimization algorithm for workshop scheduling.

Authors: Cao, Wensheng Chen, Bin

Source: Proceedings of SPIE; 12/28/2023, Vol. 12759, p127591J-127591J-14, 1p

Metaheuristic approaches for the design of machining lines.

Authors: Guschinskaya, Olga Gurevsky, Evgeny Dolgui, Alexandre et al.

Source: International Journal of Advanced Manufacturing Technology; Jul2011, Vol. 55 Issue 1-4, p11-22, 12p

Subject Terms: COMBINATORIAL optimization, MACHINE design, HEURISTIC, GENETIC algorithms, BENCHMARKING (Management), COST effectiveness, MACHINING