Constrained Optimization
Smoothed Lower Order Penalty Function for Constrained Optimization Problems
... where k ∈ (0, 1) and σ > 0 have been introduced in [12], [13], [15]. Obviously, when k = 1, the lower order penalty function (2) is reduced to the exact penalty function (1). Meng et al. [12] discussed two smoothing ...
6
A New Lagrangian Multiplier Method on Constrained Optimization
... inequality constrained optimization problem (NLP), there are many practical methods to solve it, such as augmented Lagrangian function method [1-6], Trust-region filter method [7,8], QP-free feasible method ...
6
Distributed constrained optimization via continuous time mirror design
... convex optimization algorithm utilizing the mirror descent ...the optimization algorithm ...nonsmooth optimization dynamics and makes the sim- ulation ...the optimization problem, giving rise ...
15
Transliteration as Constrained Optimization
... From the transliteration perspective, our key con- tribution is in deriving and showing the significance of a good representation for a pair of NEs. Our representation captures both phonetic similarity and distinctive ...
10
Constrained optimization in human walking: cost minimization and gait plasticity
... the constrained optimization hypothesis is the indication from the current data that the same explanation, constrained optimization of locomotion cost, can predict general features of the ...
13
A Constraints Scattered Memetic Algorithm for Constrained Optimization Problem
... solving constrained optimization ...weak constrained environment to gain more feasible solutions with larger diversity in each ...for constrained optimization ...
9
A Modified Limited SQP Method For Constrained Optimization
... It is well known that the SQP methods for solving twice continuously differentiable nonlinear programming problems, are essentially Newton-type methods for find- ing Kuhn-Tucher points of nonlinear programming problems. ...
10
A nonmonotone flexible filter method for nonlinear constrained optimization
... In this paper, we present a flexible nonmonotone filter method for solving nonlinear constrained optimization problems which are common models in industry. This new method has more flexibility for the ...
13
Robust Adaptive Wideband Beamforming Using Probability-Constrained Optimization
... probability-constrained optimization is proposed which guarantees the robustness against the signal steering vector mismatch with a selected probability ...probability-constrained optimization ...
10
A modified exact smooth penalty function for nonlinear constrained optimization
... In the paper [], a new penalty function is proposed for the constrained optimization problem. By augmenting the dimension of the program with an additional variable ε that controls the weight of the ...
11
Improved Differential Evolution with Shrinking Space Technique for Constrained Optimization
... Constrained optimization problems (COPs) widely exist in various scientific and engineering fields [1–3], such as mechanical design, path planning, ...traditional optimization techniques for some ...
13
Lifecycle-based Swarm Optimization Method for Constrained Optimization
... Swarm Optimization (LSO) ...six optimization operators: chemotactic, assimilation, transposition, crossover, selection and ...address constrained optimization problem was ...of ...
10
Greedy Sparsity-Constrained Optimization
... Sparsity-constrained optimization has wide applicability in machine learning, statistics, and signal processing problems such as feature selection and Compressed ...sparsity-constrained ...
35
Multigrid One Shot Method for PDE Constrained Optimization Problems
... Since optimization of some quantity in such problems are quite common, recent trend in scientific research has been to develop numerical methods and algorithms so that the simulation techniques can be extended ...
7
Numerical Solution for PDE Constrained Optimization Problem in Cardiac Electrophysiology
... Sudden cardiac death is an unexpected death of a person in a short time period, and is often attributed to cardiac arrhythmias. During an arrhythmia, the heart may beat too slowly, too rapidly, or irregularly. There are ...
5
Constrained optimization in human running
... via constrained optimization of metabolic cost for both walking and running indicates that the control of these two gaits might be quite ...that constrained optimization might even be capable ...
11
An Efficient Artificial Bee Colony Algorithm for Constrained Optimization Problems
... a Constrained Artificial Bee Colony (SC-ABC) and applied on several standard engineering benchmark problems of discrete and continuous ...Simple Constrained Particle Swarm Optimization algorithm ...
9
Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem
... for constrained optimization having different characteristic are ...different optimization techniques such as League championship algorithm(LCA), Particle swarm optimization(PSO), Artificial ...
5
IFFCO (Implicit filtering for constrained optimization), users' guide
... rminh { is a user-supplied double-precision constant. rminh is a lower bound for the last and smallest nite dierence step (scale) that IFFCO uses to calculate the nite dierence gradient. When a scale is less than rminh, ...
21