Výsledky vyhľadávania - non-linear multiple objective (integer OR interier) programming (zero and one variables)~

Presenting an algorithm of integer nonlinear multiple objective programming in conditions of uncertainty for balanced scorecard method (case study in Islamic Azad University, Semnan Branch)

Autori: Hamidreza Karkehabadi Mohammad Hemati

Zdroj: Management Science Letters, Vol 2, Iss 4, Pp 1305-1316 (2012)

Predmety: Fuzzy set covering problem, Fuzzy programming, Business records management, 0502 economics and business, 05 social sciences, Non-linear multiple objective integer programming (zero and one variables), 0101 mathematics, HF5735-5746, 01 natural sciences, Balanced scorecard method

Prístupová URL adresa: https://doaj.org/article/fdf3d21c37f74b4889be8b2337bff6c1
http://m.growingscience.com/beta/msl/366-presenting-an-algorithm-of-integer-nonlinear-multiple-objective-programming-in-conditions-of-uncertainty-for-balanced-scorecard-method-case-study-in-islamic-azad-university-semnan-branch.html
http://www.growingscience.com/msl/Vol2/msl_2012_36.pdf
http://growingscience.com/beta/msl/366-presenting-an-algorithm-of-integer-nonlinear-multiple-objective-programming-in-conditions-of-uncertainty-for-balanced-scorecard-method-case-study-in-islamic-azad-university-semnan-branch.html
http://m.growingscience.com/msl/Vol2/msl_2012_36.pdf

Water Networks Management: Assessment of Heuristic and Exact Approaches for Optimal Valve Location and Operation Settings Schedule.

Autori: Cunha, Maria Marques, João Creaco, Enrico

Zdroj: Water (20734441); Nov2025, Vol. 17 Issue 22, p3249, 32p

Predmety: MATHEMATICAL optimization, SIMULATED annealing, ENVIRONMENTAL infrastructure, LEAKAGE, MIXED integer linear programming, OPERATIONS management, DISASTER resilience

A Mixed‐Integer Linear Programming Framework for Optimization of Water Network Operations Problems.

Autori: Thomas, Meghna Sela, Lina

Zdroj: Water Resources Research; Feb2024, Vol. 60 Issue 2, p1-23, 23p

Predmety: MIXED integer linear programming, LINEAR programming, PYTHON programming language, FREEWARE (Computer software), INTEGER approximations, WATER distribution, INFRASTRUCTURE (Economics)

Using probability difference to compare streamflow information of alternatives for efficient operation of monitoring networks.

Autori: Konrad, Christopher P.

Zdroj: PLoS Water; 10/23/2025, Vol. 4 Issue 10, p1-20, 20p

Predmety: STREAMFLOW, INFORMATION theory, UNCERTAINTY (Information theory), STATISTICAL measurement, MATHEMATICAL optimization, STREAM measurements, COST benefit analysis

Optimal Irrigation Strategies and Adaptive Decision‐Making Under Groundwater Pumping Restrictions and Precipitation Uncertainties.

Autori: Yu, Qiuyun Cecilia Li, Qi Hu, Guiping a ďalší

Zdroj: Water Resources Research; Jul2025, Vol. 61 Issue 7, p1-23, 23p

Predmety: GROUNDWATER management, IRRIGATION management, WATER conservation, CROP management, SUSTAINABLE development, SUSTAINABILITY, AGRICULTURAL research, STOCHASTIC models

Geografický termín: UNITED States

Hybrid ITSP-LSTM Approach for Stochastic Citrus Water Allocation Addressing Trade-Offs Between Hydrological-Economic Factors and Spatial Heterogeneity.

Autori: Xu, Wen Hu, Rui Zheng, Yifei a ďalší

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2665, 21p

Predmety: STOCHASTIC programming, WATER supply management, CITRUS fruit growing, WATER management, HYDROLOGICAL forecasting, WATER supply, SPATIAL variation, INTEGRATED water development

Geografický termín: CHINA, YANGTZE River (China)

Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining.

Autori: Yacoubi, Salma Manita, Ghaith Chhabra, Amit a ďalší

Zdroj: Cognitive Computation; Aug2025, Vol. 17 Issue 4, p1-45, 45p

Daily Reference Evapotranspiration Derived from Hourly Timestep Using Different Forms of Penman–Monteith Model in Arid Climates.

Autori: Alazba, A A Mattar, Mohamed A. El-Shafei, Ahmed a ďalší

Zdroj: Water (20734441); Aug2025, Vol. 17 Issue 15, p2272, 30p

Predmety: EVAPOTRANSPIRATION, ARID regions climate, METEOROLOGICAL databases, STATISTICS, FARM management, WATER management

Geografický termín: RIYADH (Saudi Arabia), SAUDI Arabia

Practical applicability of mathematical optimization for reservoir operation and river basin management: a state-of-the-art review.

Autori: Ilich, Nesa Todorović, Andrijana

Zdroj: Hydrological Sciences Journal/Journal des Sciences Hydrologiques; Oct2024, Vol. 69 Issue 13, p1881-1896, 16p

Predmety: MATHEMATICAL optimization, LINEAR programming, THEORY-practice relationship

Improved logarithmic linearizing method for optimization problems with free-sign pure discrete signomial terms.

Autori: Lu, Hao-Chun

Zdroj: Journal of Global Optimization; May2017, Vol. 68 Issue 1, p95-123, 29p

Predmety: LOGARITHMIC functions, NONLINEAR programming, GEOMETRIC programming, NUMERICAL analysis, HEAT exchangers

Solving the Problem of Fuzzy Partition-Distribution with Determination of the Location of Subset Centers.

Autori: Bulat, Anatoly Kiseleva, Elena Yakovlev, Sergiy a ďalší

Zdroj: Computation; Oct2024, Vol. 12 Issue 10, p199, 20p

Predmety: MATHEMATICAL programming, ARTIFICIAL intelligence, MATHEMATICAL models, INDUSTRIAL costs, FUZZY algorithms, MEMBERSHIP functions (Fuzzy logic)

A Decision Support System to Enhance Electricity Grid Resilience against Flooding Disasters.

Autori: Violante, Michael Davani, Hassan Manshadi, Saeed D.

Zdroj: Water (20734441); Aug2022, Vol. 14 Issue 16, p2483-2483, 21p

Predmety: DECISION support systems, MIXED integer linear programming, FLOOD warning systems, UTILITY poles, FLOOD damage, EMERGENCY management, INFRASTRUCTURE (Economics)

Geografický termín: ARABIAN Peninsula

Optimal dose of PG600 when given to progestogen-synchronized ewes during anestrus as affected by day of the year and temperature^.

Autori: Cross, Lucy J Cross, Robin M Stormshak, Fredrick

Zdroj: Translational Animal Science. Jan2019, Vol. 3 Issue 1, p433-442. 10p.

Predmet: Progestational hormones, Ewes, Anestrus, Gonadotropin, Cattle reproduction

Feature matching of remote‐sensing images based on bilateral local–global structure consistency.

Autori: Chen, Qing‐Yan Feng, Da‐Zheng

Zdroj: IET Image Processing (Wiley-Blackwell); 12/11/2023, Vol. 17 Issue 14, p3909-3926, 18p

Predmety: REMOTE-sensing images, IMAGE registration, QUADRATIC forms, QUADRATIC programming, INTEGER programming

Predicting autism spectrum disorder using intelligent framework.

Autori: Kaur, Jaipreet Kaur, Hardeep Kaur, Manbir a ďalší

Zdroj: Network Modeling & Analysis in Health Informatics & Bioinformatics; 12/4/2025, Vol. 14 Issue 1, p1-18, 18p

Incorporating Risk in Operational Water Resources Management: Probabilistic Forecasting, Scenario Generation, and Optimal Control.

Autori: van der Heijden, Ties Mendoza‐Lugo, Miguel Angel Palensky, Peter a ďalší

Zdroj: Water Resources Research; Mar2025, Vol. 61 Issue 3, p1-27, 27p

Predmety: WATER management, ARTIFICIAL neural networks, BATTERY storage plants, STOCHASTIC control theory, BAYESIAN analysis

Assessing the Efficacy of Machine Learning Algorithms in Predicting Critical Properties of Gold Nanoparticles for Pharmaceutical Applications.

Autori: Fernando, Harinda Mohottala, Sanka Jayanetti, Madara a ďalší

Zdroj: BioNanoScience; Sep2025, Vol. 15 Issue 3, p1-30, 30p

A two-stage stochastic programming framework for blood product inventory management with ABO substitution and lateral transshipment.

Autori: Casucci, Sabrina Walteros, Jose L. Bhandawat, Rishabh

Zdroj: IISE Transactions on Healthcare Systems Engineering; Oct-Dec2024, Vol. 14 Issue 4, p362-383, 22p

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

Autori: Hingangavkar, Gajanan M.

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

Designing Water Inter-Plant Networks of Single and Multiple Contaminants through Mathematical Programming.

Autori: Shoaib, Abeer M. Atawia, Amr A. Hassanean, Mohamed H. a ďalší

Zdroj: Water (20734441); Dec2023, Vol. 15 Issue 24, p4315, 18p

Predmety: MATHEMATICAL programming, POLLUTANTS, PROCESS control systems, INDUSTRIAL wastes, WATER distribution