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检索条件："刊名=Open Journal of Optimization "
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A New Approach for Solving Linear Fractional Programming Problems with Duality Concept
《Open Journal of Optimization》2017年第1期1-10,共10页Farhana Ahmed Simi Md. Shahjalal Talukder 
Most of the current methods for solving linear fractional programming (LFP) problems depend on the simplex type method. In this paper, we present a new approach for solving linear fractional programming problem in whi...
关键词：LINEAR FRACTIONAL PROGRAMMING LINEAR PROGRAMMING DUALITY 
An Alternative Approach to the Solution of Multi-Objective Geometric Programming Problems
《Open Journal of Optimization》2017年第1期11-25,共15页Ersoy Oz Nuran Guzel Selcuk Alp 
The aim of this study is to present an alternative approach for solving the multi-objective posynomial geometric programming problems. The proposed approach minimizes the weighted objective function comes from multi-o...
关键词：Multi Objective Geometric Programming Kuhn-Tucker Conditions Taylor Series Expansion Numerical Method Weighted Mean Method 
The Cost Functional and Its Gradient in Optimal Boundary Control Problem for Parabolic Systems
《Open Journal of Optimization》2017年第1期26-37,共12页Mohamed A. El-Sayed Moustafa M. Salama M. H. Farag Fahad B. Al-Thobaiti 
The problems of optimal control (OCPs) related to PDEs are a very active area of research. These problems deal with the processes of mechanical engineering, heat aeronautics, physics, hydro and gas dynamics, the physi...
关键词：Constrained Optimal Control Problems Necessary OPTIMALITY Conditions Parabolic System ADJOINT Problem Exterior PENALTY Function Method Existence and UNIQUENESS THEOREMS 
Application of Optimization Principle in Landmark University Project Selection under Multi-Period Capital Rationing Using Linear and Integer Programming
《Open Journal of Optimization》2019年第3期73-82,共10页Nathaniel Kayode Oladejo 
The current structure of Landmark University (LU) was induced by raising a generation of solution providers through a qualitative and life-applicable training system that focuses on values and creative knowledge by ma...
关键词：OPTIMIZATION LINEAR INTEGER Programming Sensitivity Investment Maximize Net Present Value 
Modelling of Pre-Sex Selection: An Effective Method for Family Planning and Control of Overpopulation
《Open Journal of Optimization》2021年第2期29-46,共18页Harrison O. Amuji Cecilia N. Aronu Obioma G. Onukwube Chinemerem Igboanusi 
Every couple would want to have balanced sex of babies and a given number of children. But in reality, most couples do not achieve it. Some end up bearing particular sex of baby, this has caused a lot of pressure and ...
关键词：Sex Determination OVULATION Safe Period Interval Estimator Dispersion Matrix 
Optimization of Specific Draft Requirement and Hitch Length for an Animal Drawn Sub-Soiler: A Case of Sandy Clay Loam Soils
《Open Journal of Optimization》2019年第3期83-99,共17页Nicodemus K. Mwonga Ayub N. Gitau Joackim M. Mutua Simon T. Mwangi 
This study aimed at optimizing tillage depth and hitching length for optimal draft requirement in sandy clay loam soils for animal drawn subsoiler. Field experiments were conducted to collect draft datasets using the ...
关键词：Soil Resistance SPECIFIC DRAFT Hitching LENGTH SUBSOILING Depth ANIMAL Power 
Experimental Study of Methods of Scenario Lattice Construction for Stochastic Dual Dynamic Programming
《Open Journal of Optimization》2021年第2期47-60,共14页Dmitry Golembiovsky Anton Pavlov Smetanin Daniil 
The stochastic dual dynamic programming (SDDP) algorithm is becoming increasingly used. In this paper we present analysis of different methods of lattice construction for SDDP exemplifying a realistic variant of the n...
关键词：Stochastic Dual Dynamic Programming Newsvendor Problem Markov Process 
A Lagrange Relaxation Based Approach to Solve a Discrete-Continous Bi-Level Model
《Open Journal of Optimization》2019年第3期100-111,共12页Zaida E. Alarcón-Bernal Ricardo Aceves-García 
In this work we propose a solution method based on Lagrange relaxation for discrete-continuous bi-level problems, with binary variables in the leading problem, considering the optimistic approach in bi-level programmi...
关键词：Bi-Level PROGRAMMING LAGRANGE RELAXATION Discrete-Continous LINEAR Bilevel 
A Modified Lagrange Method for Solving Convex Quadratic Optimization Problems
《Open Journal of Optimization》2024年第1期1-20,共20页Twum B. Stephen Avoka John Christian J. Etwire 
In this paper, a modified version of the Classical Lagrange Multiplier method is developed for convex quadratic optimization problems. The method, which is evolved from the first order derivative test for optimality o...
关键词：Quadratic Programming Lagrangian Function Lagrange Multipliers Optimality Conditions Subsidiary Equations Modified Lagrange Method 
Optimizing Grey Wolf Optimization: A Novel Agents’ Positions Updating Technique for Enhanced Efficiency and Performance
《Open Journal of Optimization》2024年第1期21-30,共10页Mahmoud Khatab Mohamed El-Gamel Ahmed I. Saleh Asmaa H. Rabie Atallah El-Shenawy 
Grey Wolf Optimization (GWO) is a nature-inspired metaheuristic algorithm that has gained popularity for solving optimization problems. In GWO, the success of the algorithm heavily relies on the efficient updating of ...
关键词：Grey Wolf Optimization (GWO) Metaheuristic Algorithm Optimization Problems Agents’ Positions Leader Wolves Optimal Fitness Values Optimization Challenges 
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