Suchergebnisse - multi-objective constrained binary quadratic programming (problemy* OR problems*)

A Novel and Efficient Mathematical Programming Approach for the Optimal Design of Rainwater Drainage Networks: A Novel and Efficient Mathematical Programming Approach for the Optimal Design of Rainwater Drainage Networks.

Autoren: Sene, Ana Paula Caballero, Jose A. Ravagnani, Mauro A. S. S.

Quelle: Water Resources Management; Jan2025, Vol. 39 Issue 2, p883-905, 23p

Schlagwörter: COMPUTATIONAL mathematics, CLIMATE extremes, QUADRATIC programming, APPLIED mathematics, URBAN planning

Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization.

Autoren: Molina-Abril, Gines Calvet, Laura Juan, Angel A. et al.

Quelle: Computation; Jul2025, Vol. 13 Issue 7, p173, 22p

Schlagwörter: MACHINE learning, MULTI-objective optimization, ORGANIZATIONAL resilience, SMALL business, DIGITAL transformation, STRATEGIC planning, MATHEMATICAL optimization, HEURISTIC

GRAPH BISECTION MODELED AS CARDINALITY CONSTRAINED BINARY QUADRATIC TASK ALLOCATION.

Autoren: LEWIS, MARK KOCHENBERGER, GARY

Quelle: International Journal of Information Technology & Decision Making; Mar2013, Vol. 12 Issue 2, p261-276, 16p, 8 Charts

Schlagwörter: BISECTORS (Geometry), QUADRATIC programming, GRAPH theory, HEURISTIC algorithms, PARALLEL algorithms

Battery Sizing Method for Microgrids—A Colombian Application Case.

Autoren: Zamora-Muñoz, Andres Felipe Orozco-Gutierrez, Martha Lucia Lopez-Santiago, Dany Mauricio et al.

Quelle: Computation; May2025, Vol. 13 Issue 5, p114, 19p

Schlagwörter: BATTERY storage plants, MIXED integer linear programming, RENEWABLE energy sources, OPTIMIZATION algorithms, ELECTRIC power distribution grids, MICROGRIDS

Flood control of reservoir systems: Learning-based explicit and switched model predictive control approaches.

Autoren: Koo, Ja-Ho Moradvandi, Ali Abraham, Edo et al.

Quelle: PLoS Water; 5/9/2025, Vol. 4 Issue 5, p1-31, 31p

Schlagwörter: ARTIFICIAL neural networks, FLOOD control, LINEAR programming, REAL-time control, COMPUTATIONAL complexity

Multi-objective allocation of COVID-19 testing centers: improving coverage and equity in access.

Autoren: Zhong, Zhen Sengupta, Ribhu Paynabar, Kamran et al.

Quelle: IISE Transactions on Healthcare Systems Engineering; Jan-Mar2025, Vol. 15 Issue 1, p46-72, 27p

An integrated binary metaheuristic approach in dynamic unit commitment and economic emission dispatch for hybrid energy systems.

Autoren: Syama S Ramprabhakar J Anand R et al.

Quelle: Scientific reports [Sci Rep] 2024 Oct 14; Vol. 14 (1), pp. 23964. Date of Electronic Publication: 2024 Oct 14.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

Mixed-Integer Nonlinear Programming for State-Based Non-Intrusive Load Monitoring.

Autoren: Balletti, Marco Piccialli, Veronica Sudoso, Antonio M.

Quelle: IEEE Transactions on Smart Grid; Jul2022, Vol. 13 Issue 4, p3301-3314, 14p

Hybrid Enhanced Binary Honey Badger Algorithm with Quadratic Programming for Cardinality Constrained Portfolio Optimization.

Autoren: Ni, Baixiu Wang, Ying Huang, Jingfu et al.

Quelle: International Journal of Foundations of Computer Science; Sep-Nov2022, Vol. 33 Issue 6/7, p787-803, 17p

Schlagwörter: QUADRATIC programming, CONSTRAINED optimization, ALGORITHMS, STOCK exchanges, NP-hard problems

Multi-objective genetic algorithm based on the fuzzy MULTIMOORA method for solving the cardinality constrained portfolio optimization.

Autoren: Deliktaş, Derya Ustun, Ozden

Quelle: Applied Intelligence; Jun2023, Vol. 53 Issue 12, p14717-14743, 27p

Schlagwörter: PORTFOLIO management (Investments), FUZZY algorithms, GENETIC algorithms, NP-complete problems, QUADRATIC programming, PROBLEM solving, FUZZY neural networks, STANDARD deviations

Multi-objective optimization of subsurface CO2 capture, utilization, and storage using sequential quadratic programming with stochastic gradients.

Autoren: Nguyen, Quang Minh Onur, Mustafa Alpak, Faruk Omer

Quelle: Computational Geosciences; Apr2024, Vol. 28 Issue 2, p195-210, 16p

IMRT Treatment Planning Under Dose Uncertainty: A Polyhedral and Quadratic Programming Optimization Model.

Autoren: Arzanipour, Atousa Rafiee, Majid Mahnam, Mehdi

Quelle: IEOM North American Conference Proceedings; 2025, p738-751, 14p

Schlagwörter: INTENSITY modulated radiotherapy, TUMOR treatment, ROBUST optimization, QUADRATIC programming, OPERATIONS research

Differential Evolution with Secondary Mutation Strategies for Long-Term Search.

Autoren: Peng, Jianyi Chen, Gang

Quelle: Algorithms; Nov2025, Vol. 18 Issue 11, p683, 23p

Schlagwörter: DIFFERENTIAL evolution, EVOLUTIONARY computation, MATHEMATICAL programming, QUADRATIC programming, EVOLUTIONARY algorithms, MATHEMATICAL optimization

Sequential hierarchical least-squares programming for prioritized non-linear optimal control.

Autoren: Pfeiffer, Kai Kheddar, Abderrahmane

Quelle: Optimization Methods & Software; Oct2024, Vol. 39 Issue 5, p1104-1142, 39p

Schlagwörter: INTERIOR-point methods, QUADRATIC programming, INVERSE problems, ALGORITHMS, MATRICES (Mathematics)

Integration of Distributed Energy Resources in Unbalanced Networks Using a Generalized Normal Distribution Optimizer.

Autoren: Avellaneda-Gómez, Laura Sofía Cortés-Caicedo, Brandon Montoya, Oscar Danilo et al.

Quelle: Computation; Jun2025, Vol. 13 Issue 6, p146, 28p

Schlagwörter: PARTICLE swarm optimization, METAHEURISTIC algorithms, SEARCH algorithms, GAUSSIAN distribution, POWER resources

An Automated Load Restoration Approach for Improving Load Serving Capabilities in Smart Urban Networks.

Autoren: Esmaeel Nezhad, Ali Javadi, Mohammad Sadegh Ghanavati, Farideh et al.

Quelle: Urban Science; Jul2025, Vol. 9 Issue 7, p255, 15p

Schlagwörter: ENERGY management, MICROGRIDS, SMART cities, QUADRATIC programming, LOAD balancing (Computer networks)

Linear fractional optimization over the efficient set of multi-objective integer quadratic problem.

Autoren: Bencheikh, Ali Moulaï, Mustapha

Quelle: RAIRO: Operations Research (2804-7303); 2024, Vol. 58 Issue 1, p741-758, 18p

Schlagwörter: INTEGERS, UTILITY functions, FRACTIONAL programming, BRANCHING processes, QUADRATIC programming, INTEGER programming, DECISION making

Fusing Monotonic and One-Class Classification: Elevating SVM with the MC-SVDD Strategy.

Autoren: Hsu, Ming-Lung Liu, Yu-Wei Tun Li, Sheng

Quelle: Journal of Universal Computer Science (JUCS); 2025, Vol. 31 Issue 11, p1222-1247, 26p

Comparative solution approach with quadratic and genetic programming to multi-objective healthcare facility location problem.

Autoren: GÜLSÜN, Bahadır MİÇ, Pınar EDALI, Mert

Quelle: Sigma: Journal of Engineering & Natural Sciences / Mühendislik ve Fen Bilimleri Dergisi; Mar2022, Vol. 40 Issue 1, p63-78, 16p

Schlagwörter: QUADRATIC programming, LOCATION problems (Programming), QUADRATIC assignment problem, GENETIC programming, COMPARATIVE method, HEALTH facilities, FACILITY management

The Silent Language: A Review of Mathematics in the Realm of Gas Sensing.

Autoren: Hingangavkar, Gajanan M.

Quelle: Sensing & Imaging; 9/23/2025, Vol. 26 Issue 1, p1-41, 41p