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Performance assessment of the metaheuristic optimization algorithms: an exhaustive review
The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …
problems compared to their deterministic counterparts. Despite this advantage, the …
An overview of computational methods for chemical equilibrium and kinetic calculations for geochemical and reactive transport modeling
We present an overview of novel numerical methods for chemical equilibrium and kinetic
calculations for complex non-ideal multiphase systems. The methods we present for …
calculations for complex non-ideal multiphase systems. The methods we present for …
Benchmarking optimization software with performance profiles
ED Dolan, JJ Moré - Mathematical programming, 2002 - Springer
Benchmarking optimization software with performance profiles Page 1 Digital Object Identifier
(DOI) 10.1007/s101070100263 Math. Program., Ser. A 91: 201–213 (2002) Elizabeth D. Dolan …
(DOI) 10.1007/s101070100263 Math. Program., Ser. A 91: 201–213 (2002) Elizabeth D. Dolan …
Best practices for comparing optimization algorithms
Comparing, or benchmarking, of optimization algorithms is a complicated task that involves
many subtle considerations to yield a fair and unbiased evaluation. In this paper, we …
many subtle considerations to yield a fair and unbiased evaluation. In this paper, we …
Interior methods for nonlinear optimization
Interior methods are an omnipresent, conspicuous feature of the constrained optimization
landscape today, but it was not always so. Primarily in the form of barrier methods, interior …
landscape today, but it was not always so. Primarily in the form of barrier methods, interior …
[KIRJA][B] An interior point algorithm for large-scale nonlinear optimization with applications in process engineering
A Wachter - 2002 - search.proquest.com
Nonlinear programming (NLP) has become an essential tool in process engineering,
leading to profit gains through improved plant designs and better control strategies. The …
leading to profit gains through improved plant designs and better control strategies. The …
Interior-point methods for nonconvex nonlinear programming: Filter methods and merit functions
Abstract Recently, Fletcher and Leyffer proposed using filter methods instead of a merit
function to control steplengths in a sequential quadratic programming algorithm. In this …
function to control steplengths in a sequential quadratic programming algorithm. In this …
[HTML][HTML] Efficient chemical equilibrium calculations for geochemical speciation and reactive transport modelling
Chemical equilibrium calculations are essential for many environmental problems. It is also
a fundamental tool for chemical kinetics and reactive transport modelling, since these …
a fundamental tool for chemical kinetics and reactive transport modelling, since these …
Interior-point algorithms, penalty methods and equilibrium problems
HY Benson, A Sen, DF Shanno… - Computational …, 2006 - Springer
In this paper we consider the question of solving equilibrium problems—formulated as
complementarity problems and, more generally, mathematical programs with equilibrium …
complementarity problems and, more generally, mathematical programs with equilibrium …
Solving problems with semidefinite and related constraints using interior-point methods for nonlinear programming
In this paper, we describe how to reformulate a problem that has second-order cone and/or
semidefiniteness constraints in order to solve it using a general-purpose interior-point …
semidefiniteness constraints in order to solve it using a general-purpose interior-point …