Scatter search for chemical and bio-process optimization

DOI10.1007/s10898-006-9075-3zbMath1108.92001OpenAlexW2087752119WikidataQ59343628 ScholiaQ59343628MaRDI QIDQ878229

Jose A. Egea, Rafael Martí, María Rodríguez-Fernández, Julio R. Banga

Publication date: 26 April 2007

Published in: Journal of Global Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10898-006-9075-3

zbMATH Keywords

Global optimizationMetaheuristicsScatter searchChemical engineeringNonlinear dynamic systems

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) General biology and biomathematics (92B05) Computational methods for problems pertaining to biology (92-08)

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Uses Software

• Matlab
• SNOPT
• TOMLAB
• Ipopt
• NL2SOL
• Scatter Search
• OptQuest
• NPSOL

Cites Work

• Tabu search for nonlinear and parametric optimization (with links to genetic algorithms)
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Scatter search. Methodology and implementation in C. With CD-ROM.
• On combining feasibility, descent and superlinear convergence in inequality constrained optimization
• On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
• Experimental testing of advanced scatter search designs for global optimization of multimodal functions
• A stochastic method for global optimization
• SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization
• Some Problems Associated with the Analysis of Multiresponse Data
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