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Distributed nonconvex constrained optimization over time-varying digraphs

Mathematical programming, 2018
This paper considers nonconvex distributed constrained optimization over networks, modeled as directed (possibly time-varying) graphs. We introduce the first algorithmic framework for the minimization of the sum of a smooth nonconvex (nonseparable ...
G. Scutari, Ying Sun
semanticscholar   +1 more source

A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

Knowledge-Based Systems, 2023
B. Yildiz   +8 more
semanticscholar   +1 more source

Order‐constrained linear optimization

British Journal of Mathematical and Statistical Psychology, 2017
Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA ...
Joe W, Tidwell   +3 more
openaire   +2 more sources

SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization

SIAM Journal on Optimization, 2002
P. Gill, W. Murray, M. Saunders
semanticscholar   +1 more source

Constrained optimization

1996
Abstract In optimization theory, when both objective and constraint functions are linear, the problem is called a linear-programming (LP) problem. The term programming refers to scheduling and not to computer programming. The idea goes back to Dantzig [1963] who put forward mathematical principles of scheduling and planning. There are
P Neittaanmäki, M Rudnicki, A Savini
openaire   +1 more source

Constrained Optimization

2021
Tony Pourmohamad, Herbert K. H. Lee
openaire   +2 more sources

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results

Swarm and Evolutionary Computation, 2021
Abhishek Kumar   +6 more
semanticscholar   +1 more source

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