Results 11 to 20 of about 299,324 (278)
Non-linear Programming via P-graph Framework
P-graph is a graph-theoretic method which is designed to solve process network synthesis (PNS) problem using combinatorial and optimisation algorithms.
Bing Shen How +6 more
doaj +1 more source
Multi-Objective Non-Linear Programming Problems in Linear Diophantine Fuzzy Environment
Due to various unpredictable factors, a decision maker frequently experiences uncertainty and hesitation when dealing with real-world practical optimization problems.
Salma Iqbal +2 more
doaj +1 more source
Optimising a nonlinear utility function in multi-objective integer programming [PDF]
In this paper we develop an algorithm to optimise a nonlinear utility function of multiple objectives over the integer efficient set. Our approach is based on identifying and updating bounds on the individual objectives as well as the optimal utility ...
A. Przybylski +22 more
core +2 more sources
Analog integrated neural-like circuits for nonlinear programming [PDF]
A systematic approach for the design of analog neural nonlinear programming solvers using switched-capacitor (SC) integrated circuit techniques is presented. The method is based on formulating a dynamic gradient system whose state evolves in time towards
Domínguez Castro, Rafael +3 more
core +1 more source
Linear and nonlinear programming: effects on the physical abilities of young basketball players
Background and Study Aim. Linear and nonlinear programming are methods used to control intensity and volume in sports training. Despite their widespread application, there is a lack of evidence-based studies that directly compare the effects of linear ...
Taufiq Hidayah +3 more
doaj +1 more source
Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle
The power distribution strategy of hybrid power sources is an important issue for fuel cell vehicles. A good power distribution control strategy can realize the optimal control of the vehicle energy, which can save energy and improve the operating ...
Yao He +6 more
doaj +1 more source
Research efforts of the past fifty years have led to a development of linear integer programming as a mature discipline of mathematical optimization.
A. Ben-Tal +86 more
core +2 more sources
Exact augmented Lagrangian functions for nonlinear semidefinite programming
In this paper, we study augmented Lagrangian functions for nonlinear semidefinite programming (NSDP) problems with exactness properties. The term exact is used in the sense that the penalty parameter can be taken appropriately, so a single minimization ...
Fukuda, Ellen H., Lourenço, Bruno F.
core +1 more source
Homotopy methods are powerful tools for solving nonlinear programming. Their global convergence can be generally established under conditions of the nonemptiness and boundness of the interior of the feasible set, the Positive Linear Independent ...
Zhengyong Zhou, Ting Zhang
doaj +1 more source
Optimality Conditions for Nonlinear Semidefinite Programming via Squared Slack Variables
In this work, we derive second-order optimality conditions for nonlinear semidefinite programming (NSDP) problems, by reformulating it as an ordinary nonlinear programming problem using squared slack variables.
Fukuda, Ellen H. +2 more
core +1 more source

