Results 21 to 30 of about 124,509 (238)

Integrated Modelling Approaches for Sustainable Agri-Economic Growth and Environmental Improvement: Examples from Greece, Canada and Ireland

open access: yesLand, 2022
Complex agricultural problems concern many countries, as a result of competing economic and environmental objectives. In this work we model three common agricultural problems through optimization techniques: a water-scarce area with overexploited surface
Jorge Andres Garcia, Angelos Alamanos
doaj   +1 more source

Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming

open access: yesJournal of Applied Mathematics, 2013
In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality.
Haifang Cheng, Weilai Huang, Jianhu Cai
doaj   +1 more source

Lexicographic Methods for Fuzzy Linear Programming

open access: yesMathematics, 2020
Fuzzy Linear Programming (FLP) has addressed the increasing complexity of real-world decision-making problems that arise in uncertain and ever-changing environments since its introduction in the 1970s.
Boris Pérez-Cañedo   +3 more
doaj   +1 more source

Penerapan algoritma Dinkelbach dan transformasi Charnes Cooper pada pemrograman fraksional linear di UD Bintang Furniture

open access: yesMajalah Ilmiah Matematika dan Statistika, 2022
Linear fractional programming is a special case of non-linear programming with an objective function consisting of the ratio of two linear functions. The problem can be solved using the Dinkelbach algorithm and the Charnes Cooper transformation.
Muhammad Wakhid Musthofa   +1 more
doaj   +1 more source

Linear Programming Complementation

open access: yesTheoretical Computer Science
In this paper we introduce a new operation for Linear Programming (LP), called LP complementation, which resembles many properties of LP duality. Given a maximisation (resp.~minimisation) LP $P$, we define its complement $Q$ as a specific minimisation (resp.~maximisation) LP with the same objective function as $P$.
Maximilien Gadouleau   +2 more
openaire   +3 more sources

Fuzzy linear mathematical programming in agriculture

open access: yesBibechana, 2015
In this paper we present a Fuzzy linear Mathematical programming approach for optimal allocation of land under cultivation. Fuzzy Mathematical programming approach is more realistic and flexible optimal solution for the agricultural land cultivation ...
MA Lone, MS Puktha, SA Mir
doaj   +3 more sources

Modified Method for Solving Fully Fuzzy Linear Programming Problem with Triangular Fuzzy Numbers [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
The Fuzzy Linear Programming problem has been used as an important planning tool for the different disciplines such as engineering, business, finance, economics, etc.
S. K. Das
doaj   +1 more source

Adaptive Linear Classifier by Linear Programming

open access: yesIEEE Transactions on Systems Science and Cybernetics, 1970
A linear classifier based on linear programming which is adaptive to a change in the set of input vectors is discussed. Different from other linear classifiers, this one maintains the maximum reliability of its operation, provided that the set of pattern vectors is linearly separable.
Ibaraki, Toshihide., Muroga, Saburo.
openaire   +3 more sources

PENDEKATAN ALGORITMA GENETIKA DALAM MENYELESAIKAN PERMASALAHAN FUZZY LINEAR PROGRAMMING

open access: yesIJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011
Fuzzy linear programming is one of the linear programming developments which able to accommodate uncertainty in the real world. Genetic algorithm approach in solving linear programming problems with fuzzy constraints has been introduced by Lin (2008) by ...
Siska Dewi Lestari, Subanar Subanar
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Home - About - Disclaimer - Privacy