Results 91 to 100 of about 32,569 (254)
Multiobjective Geometric Programming Problem Under Uncertainty
Operations Research and Decisions, 2017 Multiobjective geometric programming (MOGP) is a powerful optimization technique widely used for solving a variety of nonlinear optimization problems and engineering problems.
Wasim Akram Mandal, Sahidul Islam
doaj
Biofuels, Bioproducts and Biorefining, EarlyView.Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang +10 more
wiley +1 more source
POWER: Performance Optimization With Evaluated Results for HEV Battery Selection via MCDM‐TOPSIS
Energy Science &Engineering, EarlyView.ABSTRACT The increasing transportation demands and environmental concerns in India necessitate the selection of optimal battery technologies for hybrid electric vehicles (HEVs). As the fifth‐largest car market globally, India faces rising vehicle demand, while the transportation sector remains a major contributor to air pollution.
Rinku Kumar Roy +5 more
wiley +1 more source
On Fuzzy Portfolio Selection Problems: A Parametric Representation Approach
Complexity, 2017 Fuzzy portfolio selection problem is a major issue in the financial field and a special case of constrained fuzzy-valued optimization problems (CFOPs).
Omid Solaymani Fard +1 more
doaj +1 more source
Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information [PDF]
, 1998 Several contributions to the hydrological literature have brought into question the continued usefulness of the classical paradigm for hydrologic model calibration.
Gupta, HV, Sorooshian, S, Yapo, PO
core +1 more source
Multiobjective linear programming and multiobjective zero one programming
, 2020 193
openaire +1 more source
Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm
Energy Science &Engineering, EarlyView.Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson +3 more
wiley +1 more source
A Compromise Solution for the Fully Fuzzy Multiobjective Linear Programming Problems
IEEE Access, 2018 A new approach is undertaken to solve the fully fuzzy multiobjective linear programming (FFMLP) problem. The coefficients of the objective functions, constraints, right-hand-side parameters, and variables are of the triangular fuzzy number (TrFN)s.
Abdulqader Othman Hamadameen +1 more
doaj +1 more source
Irrigation and Drainage, EarlyView.ABSTRACT Efficient irrigation scheduling is critical in sandy soils to achieve optimum yield and maximum net benefit with minimum environmental concerns. The Environmental Policy Integrated Climate (EPIC) model was used to study the impacts of autoirrigation of corn on crop yield and soil water balance during 2019–2021 at −300 and −450 kPa for loamy ...
Muhammad Tahir +3 more
wiley +1 more source